BibSLEIGH — Proceedings of the 15th International Conference on Pattern Recognition, Volume 2

Proceedings of the 15th International Conference on Pattern Recognition, Volume 2
ICPR v2, 2000.

KER

@proceedings{ICPR-v2-2000,
	address       = "Barcelona, Spain",
	ee            = "http://www.computer.org/csdl/proceedings/icpr/2000/index.html",
	isbn          = "0-7695-0750-6",
	publisher     = "{IEEE Computer Society}",
	title         = "{Proceedings of the 15th International Conference on Pattern Recognition, Volume 2}",
	year          = 2000,
}

Contents (250 items)

ICPR-v2-2000-Duin #classification: Classifiers in Almost Empty Spaces (RPWD), pp. 2001–2007.
ICPR-v2-2000-GiacintoR #classification #framework: A Theoretical Framework for Dynamic Classifier Selection (GG, FR), pp. 2008–2011.
ICPR-v2-2000-PekalskaD #classification #pattern matching #pattern recognition #recognition: Classifiers for Dissimilarity-Based Pattern Recognition (EP, RPWD), pp. 2012–2016.
ICPR-v2-2000-HuangCSG #classification #nearest neighbour #prototype: Constructing Optimized Prototypes for Nearest Neighbor Classifiers (YSH, CCC, JWS, WELG), pp. 2017–2020.
ICPR-v2-2000-ChaS #distance #metric #similarity: Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity (SHC, SNS), pp. 2021–2024.
ICPR-v2-2000-PalaciosR #approach #editing #prototype: Weighting Prototypes. A New Editing Approach (RPP, EV), pp. 2025–2028.
ICPR-v2-2000-KudoIS #classification: A Histogram-Based Classifier on Overlapped Bins (MK, HI, MS), pp. 2029–2033.
ICPR-v2-2000-CarcassoniH #matrix #proximity: An Improved Point Proximity Matrix for Modal Matching (MC, ERH), pp. 2034–2037.
ICPR-v2-2000-KeysersDTN #distance: Experiments with an Extended Tangent Distance (DK, JD, TT, HN), pp. 2038–2042.
ICPR-v2-2000-HoB #classification #complexity #problem: Measuring the Complexity of Classification Problems (TKH, MB), pp. 2043–2047.
ICPR-v2-2000-VailayaJ #classification: Reject Option for VQ-Based Bayesian Classification (AV, AKJ), pp. 2048–2051.
ICPR-v2-2000-Dom #pattern matching #pattern recognition #recognition #web: Pattern Recognition Meets the World Wide Web (BD), pp. 2052–2059.
ICPR-v2-2000-SubrahmoniaZ #challenge: Pen Computing: Challenges and Applications (JS, TZ), pp. 2060–2066.
ICPR-v2-2000-MutoNH #classification #evaluation: Evaluation of a Modified Parzen Classifier in High Dimensional Spaces (YM, HN, YH), pp. 2067–2070.
ICPR-v2-2000-HammoudM #recognition #video: Mixture Densities for Video Objects Recognition (RIH, RM), pp. 2071–2075.
ICPR-v2-2000-BradleyRF #clustering #database #modelling #scalability #using: Clustering Very Large Databases Using EM Mixture Models (PSB, CR, UMF), pp. 2076–2080.
ICPR-v2-2000-KeglKN #classification #complexity #learning #network: Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.
ICPR-v2-2000-FigueiredoJ #estimation #finite #modelling: Unsupervised Selection and Estimation of Finite Mixture Models (MATF, AKJ), pp. 2087–2090.
ICPR-v2-2000-TombreT #recognition: Vectorization in Graphics Recognition: To Thin or Not to Thin (KT, ST), pp. 2091–2096.
ICPR-v2-2000-SongR #image: A Feature Space for Face Image Processing (QS, JR), pp. 2097–2100.
ICPR-v2-2000-GaoD #algorithm #classification #feature model #on the: On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification (JG, XD), pp. 2101–2104.
ICPR-v2-2000-Zhao00a #analysis #performance: Performance Perturbation Analysis of Eigen-Systems (WYZ), pp. 2105–2108.
ICPR-v2-2000-PerantonisPV #analysis #classification #component #paradigm #using: Supervised Principal Component Analysis Using a Smooth Classifier Paradigm (SJP, SP, VV), pp. 2109–2112.
ICPR-v2-2000-BaesensVVD #feature model #network #optimisation: Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.
ICPR-v2-2000-Bunke #graph: Recent Developments in Graph Matching (HB), pp. 2117–2124.
ICPR-v2-2000-Fernau #n-gram: k-gram Extensions of Terminal Distinguishable Languages (HF), pp. 2125–2128.
ICPR-v2-2000-TsangC: A Structural Deformable Model with Application to Post-Recognition of Handwritings (CKYT, KFLC), pp. 2129–2132.
ICPR-v2-2000-BartoliPSZ #graph #morphism #using: Attributed Tree Homomorphism Using Association Graphs (MB, MP, KS, SWZ), pp. 2133–2136.
ICPR-v2-2000-WilsonL: Decoding Population Codes (RCW, NL), pp. 2137–2140.
ICPR-v2-2000-LuoH #algorithm #composition #graph #using: Symbolic Graph Matching Using the EM Algorithm and Singular Value Decomposition (BL, ERH), pp. 2141–2144.
ICPR-v2-2000-Pavlidis #2d #interface: A New Paper/Computer Interface: Two-Dimensional Symbologies (TP), pp. 2145–2151.
ICPR-v2-2000-ChouS #algorithm #classification #learning #multi: A Hierarchical Multiple Classifier Learning Algorithm (YYC, LGS), pp. 2152–2155.
ICPR-v2-2000-MascarillaF #classification: Another Look at Combining Rejection-Based Pattern Classifiers (LM, CF), pp. 2156–2159.
ICPR-v2-2000-GiacintoRF #classification #clustering #design #effectiveness #multi: Design of Effective Multiple Classifier Systems by Clustering of Classifiers (GG, FR, GF), pp. 2160–2163.
ICPR-v2-2000-AlkootK #performance: Improving the Performance of the Product Fusion Strategy (FMA, JK), pp. 2164–2167.
ICPR-v2-2000-KunchevaWSD #classification #independence #question: Is Independence Good For Combining Classifiers? (LIK, CJW, CAS, RPWD), pp. 2168–2171.
ICPR-v2-2000-Torras #adaptation: Neuroadaptive Robots (CT), pp. 2172–2181.
ICPR-v2-2000-VinokourovG #clustering #documentation #probability: Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents (AV, MG), pp. 2182–2185.
ICPR-v2-2000-BuhmannZ #clustering #learning: Active Learning for Hierarchical Pairwise Data Clustering (JMB, TZ), pp. 2186–2189.
ICPR-v2-2000-FredL #clustering #difference: Clustering Under a Hypothesis of Smooth Dissimilarity Increments (ALNF, JMNL), pp. 2190–2194.
ICPR-v2-2000-LawK #clustering #learning #modelling #sequence: Rival Penalized Competitive Learning for Model-Based Sequence Clustering (MHCL, JTK), pp. 2195–2198.
ICPR-v2-2000-Sato #classification #fault #learning: A Learning Method for Definite Canonicalization Based on Minimum Classification Error (AS), pp. 2199–2202.
ICPR-v2-2000-GhaderiW #analysis: Circular ECOC: A Theoretical and Experimental Analysis (RG, TW), pp. 2203–2206.
ICPR-v2-2000-HansenH #bias #composition #exponential #fault #independence #product line: General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions (JVH, TH), pp. 2207–2210.
ICPR-v2-2000-Abe #classification #fuzzy: Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions (SA), pp. 2211–2214.
ICPR-v2-2000-Caelli #feature model #image #learning #modelling #performance #predict: Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance (TC), pp. 2215–2218.
ICPR-v2-2000-PavlovMD #algorithm #using: Scaling-Up Support Vector Machines Using Boosting Algorithm (DP, JM, BD), pp. 2219–2222.
ICPR-v2-2000-LiD00a #automation #detection #video: A Video Text Detection System Based on Automated Training (HL, DSD), pp. 2223–2228.
ICPR-v2-2000-Berthilsson #recognition #using: Character Recognition Using Shape for Curves (RB), pp. 2227–2230.
ICPR-v2-2000-Ruiz-PinalesL #network #recognition #using: Cursive Handwriting Recognition Using the Hough Transform and a Neural Network (JRP, EL), pp. 2231–2234.
ICPR-v2-2000-WangDL #fuzzy #image #recognition: Gray-Scale Character Image Recognition Based on Fuzzy DCT Transform Features (XW, XD, CL), pp. 2235–2238.
ICPR-v2-2000-ValvenyM #documentation #framework #recognition #using: Hand-Drawn Symbol Recognition in Graphic Documents Using Deformable Template Matching and a Bayesian Framework (EV, EM), pp. 2239–2242.
ICPR-v2-2000-DoschMT #detection #recognition: Improving Arc Detection in Graphics Recognition (PD, GM, KT), pp. 2243–2246.
ICPR-v2-2000-ArtieresMGD #modelling #multi #online #recognition: Multi-Modal Segmental Models for On-Line Handwriting Recognition (TA, JMM, PG, BD), pp. 2247–2250.
ICPR-v2-2000-CorreiaC #optimisation #recognition #using: Optimizing the Recognition Rates of Unconstrained Handwritten Numerals Using Biorthogonal Spline Wavelets (SENC, JMdC), pp. 2251–2254.
ICPR-v2-2000-ChazalR #classification #comparison #using: A Comparison of the Use of Different Wavelet Coefficients for the Classification of the Electrocardiogram (PdC, RBR), pp. 2255–2258.
ICPR-v2-2000-LamICTH #approach #multi: A Multi-Window Approach to Classify Histological Features (RWKL, HHSI, KKTC, LHYT, RH), pp. 2259–2262.
ICPR-v2-2000-KanekoGF #3d #recognition #using: Abdominal Organ Recognition Using 3D Mathematical Morphology (TK, LG, HF), pp. 2263–2266.
ICPR-v2-2000-BovisS #detection #using: Detection of Masses in Mammograms Using Texture Features (KB, SS), pp. 2267–2270.
ICPR-v2-2000-Singh #classification #locality: EEG Data Classification with Localized Structural Information (SS), pp. 2271–2274.
ICPR-v2-2000-DesvignesRCDRD #automation #image #towards: First Steps toward Automatic Location of Landmarks on X-Ray Images (MD, BR, RC, RD, MR, MJD), pp. 2275–2278.
ICPR-v2-2000-OlivieriV #image #prototype #similarity: Image Prototype Similarity Matching for Lymph Node Hemopathology (DNO, FV), pp. 2279–2282.
ICPR-v2-2000-Alvarez-BorregoMCP #correlation #invariant #recognition: Invariant Optical Color Correlation for Recognition of Vibrio cholerae O1 (JÁB, RRMP, GC, JLPP), pp. 2283–2286.
ICPR-v2-2000-RitterS #feature model: Profile and Feature Extraction from Chromosomes (GR, GS), pp. 2287–2290.
ICPR-v2-2000-BhattacharyaDPCLR #adaptation #image #using: Shape Extraction of Volumetric Images of Filamentous Bacteria Using Topology Adaptive Self Organization (UB, AD, SKP, BBC, VL, KR), pp. 2291–2294.
ICPR-v2-2000-LamICTH00a #image #metric #retrieval #similarity: Similarity Measures for Histological Image Retrieval (RWKL, HHSI, KKTC, LHYT, RH), pp. 2295–2298.
ICPR-v2-2000-Theera-UmponG #fault #network: Training Neural Networks to Count White Blood Cells via a Minimum Counting Error Objective Function (NTU, PDG), pp. 2299–2302.
ICPR-v2-2000-ChapronBA #multi: A Multiresolution Based Method for Recognizing Weeds in Corn Fields (MC, PB, LA), pp. 2303–2306.
ICPR-v2-2000-YaoHGM #image: Finding Green River in SeaWiFS Satellite Images (WY, LOH, DBG, FEMK), pp. 2307–2310.
ICPR-v2-2000-Scheunders #image #multi #using: Multispectral Image Fusion Using Local Mapping Techniques (PS), pp. 2311–2314.
ICPR-v2-2000-MottlDLM #pattern matching #pattern recognition #recognition: Pattern Recognition in Spatial Data: A New Method of Seismic Explorations for Oil and Gas in Crystalline Basement Rocks (VM, SD, VL, IBM), pp. 2315–2318.
ICPR-v2-2000-KimKNS #classification #recognition #word: A Methodology of Combining HMM and MLP Classifiers for Cursive Word Recognition (JHK, KKK, CPN, CYS), pp. 2319–2322.
ICPR-v2-2000-OliveiraLBS #approach #segmentation: A New Segmentation Approach for Handwritten Digits (LESdO, EL, FB, RS), pp. 2323–2326.
ICPR-v2-2000-XiaoWD #adaptation #classification #recognition: Adaptive Combination of Classifiers and its Application to Handwritten Chinese Character Recognition (BX, CHW, RD), pp. 2327–2330.
ICPR-v2-2000-VuoriLOK #adaptation #classification #online #prototype: Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters (VV, JL, EO, JK), pp. 2331–2334.
ICPR-v2-2000-YoshimuraEKY #recognition: Gray-Scale Character Recognition by Gabor Jets Projection (HY, ME, KK, NY), pp. 2335–2338.
ICPR-v2-2000-MizukamiST #prototype #recognition: Handwritten Digit Recognition by Hierarchical Displacement Extraction with Gradual Prototype Elimination (YM, TS, KT), pp. 2339–2342.
ICPR-v2-2000-Kawatani #normalisation #polynomial #recognition: Handwritten Kanji Recognition with Determinant Normalized Quadratic Discriminant Function (TK), pp. 2343–2346.
ICPR-v2-2000-WangZCF #approach #markov #random #recognition: Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition (QW, RZ, ZC, DDF), pp. 2347–2350.
ICPR-v2-2000-DehghanFAS #fuzzy #markov #modelling #recognition #using #word: Off-Line Unconstrained Farsi Handwritten Word Recognition Using Fuzzy Vector Quantization and Hidden Markov Word Models (MD, KF, MA, MS), pp. 2351–2354.
ICPR-v2-2000-GuoDR #detection #using: Off-Line Skilled Forgery Detection Using Stroke and Sub-Stroke Properties (JKG, DSD, AR), pp. 2355–2358.
ICPR-v2-2000-FukushimaN #online #recognition: On-Line Writing-Box-Free Recognition of Handwritten Japanese Text Considering Character Size Variations (TF, MN), pp. 2359–2363.
ICPR-v2-2000-KatoOA #modelling #precise #recognition #using: Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation (TK, SO, HA), pp. 2364–2367.
ICPR-v2-2000-ConnellSJ #online #recognition: Recognition of Unconstrained On-Line Devanagari Characters (SDC, RMKS, AKJ), pp. 2368–2371.
ICPR-v2-2000-Schulerud #analysis #bias #fault #feature model #linear: Bias of Error Rates in Linear Discriminant Analysis Caused by Feature Selection and Sample Size (HS), pp. 2372–2377.
ICPR-v2-2000-IwamuraOA #estimation #fault: A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors (MI, SO, HA), pp. 2378–2381.
ICPR-v2-2000-GuoM #approach #automation #feature model #hybrid #statistics: Automatic Feature Selection — A Hybrid Statistical Approach (HG, YLM), pp. 2382–2385.
ICPR-v2-2000-SmitsA #cost analysis #image #interactive #set: Cost-Based Feature Subset Selection for Interactive Image Analysis (PCS, AA), pp. 2386–2389.
ICPR-v2-2000-LingC #bound #feature model #performance: Fast and Efficient Feature Extraction Based on Bayesian Decision Boundaries (LLL, HMC), pp. 2390–2393.
ICPR-v2-2000-ValevSR: Generalized Non-Reducible Descriptors (VV, BS, PR), pp. 2394–2397.
ICPR-v2-2000-DuinLH #feature model #linear #multi: Multi-Class Linear Feature Extraction by Nonlinear PCA (RPWD, ML, RHU), pp. 2398–2401.
ICPR-v2-2000-LeeC #feature model #multi #optimisation #problem: Optimizing Feature Extraction for Multiclass Problems (CL, EC), pp. 2402–2405.
ICPR-v2-2000-SomolP #algorithm #feature model: Oscillating Search Algorithms for Feature Selection (PS, PP), pp. 2406–2409.
ICPR-v2-2000-UnsalanE #analysis #linear: Shapes of Features and a Modified Measure for Linear Discriminant Analysis (CÜ, AE), pp. 2410–2413.
ICPR-v2-2000-HolzL #set #using #validation: Validation of Relative Feature Importance Using a Natural Data Set (HJH, MHL), pp. 2414–2417.
ICPR-v2-2000-RitterG #approach #identification #pattern matching #pattern recognition #recognition: A Bayesian Approach to Object Identification in Pattern Recognition (GR, MTG), pp. 2418–2421.
ICPR-v2-2000-GuillametV #comparison #recognition: A Comparison of Global versus Local Color Histograms for Object Recognition (DG, JV), pp. 2422–2425.
ICPR-v2-2000-Chandran: A Link between Shape and Phase (VC), pp. 2426–2429.
ICPR-v2-2000-HamadaSHT #automation #classification #image: Automated Construction of Image Processing Procedure Based on Misclassification Condition (TH, AS, JiH, JiT), pp. 2430–2433.
ICPR-v2-2000-SuzukiHS #component #performance: Fast Connected-Component Labeling Based on Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan (KS, IH, NS), pp. 2434–2437.
ICPR-v2-2000-GiacconeTJ #network #segmentation: Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.
ICPR-v2-2000-LiLT #analysis #cumulative #image: Image Analysis by Accumulative Hopfield Matching (WJL, TL, HTT), pp. 2442–2445.
ICPR-v2-2000-Takeda #estimation: Maximum Likelihood Estimation of a Sensor Configuration in a Polygonal Environment (HT), pp. 2446–2450.
ICPR-v2-2000-MatsakisW #classification: Orbit and Sinus Classification Based on Force Histogram Computation (PM, LW), pp. 2451–2454.
ICPR-v2-2000-LaiCF #canonical #correlation #using: Power Load Forecasting Using Neural Canonical Correlates (PLL, SJC, CF), pp. 2455–2458.
ICPR-v2-2000-JainJV #experience #network #using: Short-Term Water Demand Forecasting Using Artificial Neural Networks: IIT Kanpur Experience (AJ, UCJ, AKV), pp. 2459–2462.
ICPR-v2-2000-BauerHK #recognition #statistics #using: Video-Based Continuous Sign Language Recognition Using Statistical Methods (BB, HH, KFK), pp. 2463–2466.
ICPR-v2-2000-PanditKLC #case study #comparative #segmentation: A Comparative Study of Different Segmentation Approaches for Audio Track Indexing (MP, JK, YL, EC), pp. 2467–2470.
ICPR-v2-2000-LucasS #algorithm #automation #evaluation #internet: Automatic Evaluation of Algorithms over the Internet (SML, KS), pp. 2471–2474.
ICPR-v2-2000-UmRK #clustering #comparison #verification: Comparison of Clustering Methods for MLP-Based Speaker Verification (ITU, JHR, MHK), pp. 2475–2474.
ICPR-v2-2000-SaranliD: A Unified View of Rank-Based Decision Combination (AS, MD), pp. 2479–2482.
ICPR-v2-2000-KangL #classification #multi: An Information-Theoretic Strategy for Constructing Multiple Classifier Systems (HJK, SWL), pp. 2483–2486.
ICPR-v2-2000-BeiraghiAAS #classification #fault #fuzzy #recognition: Application of Fuzzy Integrals in Fusion of Classifiers for Low Error Rate Handwritten Numerals Recognition (SB, MA, MASA, MS), pp. 2487–2490.
ICPR-v2-2000-YuJB #classification #recognition #visual notation: Combining Acoustic and Visual Classifiers for the Recognition of Spoken Sentences (KY, XJ, HB), pp. 2491–2494.
ICPR-v2-2000-AlexandreCK #classification #independence #using: Combining Independent and Unbiased Classifiers Using Weighted Average (LAA, ACC, MSK), pp. 2495–2498.
ICPR-v2-2000-HuangHS #automation #recognition: A New Automatic Quasar Recognition Technique Based on PCA and the Hough Transform (LyH, ZH, FS), pp. 2499–2502.
ICPR-v2-2000-ClarkO: A Temporal-Difference Model of Perceptual Stability in Color Vision (JJC, JKO), pp. 2503–2506.
ICPR-v2-2000-SaitohK #automation #recognition: Automatic Recognition of Wild Flowers (TS, TK), pp. 2507–2510.
ICPR-v2-2000-Horikawa #2d #3d #image #invariant #similarity: Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations (YH), pp. 2511–2514.
ICPR-v2-2000-NicolasYC #correlation #fourier #information management: Color Information as a Third Dimension in Fourier Transform and Correlation (JN, MJY, JC), pp. 2515–2518.
ICPR-v2-2000-GuillaudBRBT #detection #multi #using: Continuity Perception Using a Multiagent System: An Application to Growth Ring Detection on Fish Otoliths (AG, AB, VR, JLB, HT), pp. 2519–2522.
ICPR-v2-2000-KoprinskaK #evolution #fuzzy #network #recognition: Evolving Fuzzy Neural Network for Camera Operations Recognition (IK, NKK), pp. 2523–2526.
ICPR-v2-2000-TaoLT #pattern matching #pattern recognition #recognition: Extraction of Fractal Feature for Pattern Recognition (YT, ECML, YYT), pp. 2527–2530.
ICPR-v2-2000-SchaelS #3d #invariant: Invariant Grey-Scale Features for 3D Sensor-Data (MS, SS), pp. 2531–2535.
ICPR-v2-2000-HickinbothamA #detection: Novelty Detection in Airframe Strain Data (SJH, JA), pp. 2536–2539.
ICPR-v2-2000-WohlerKA #classification #image #recognition #sequence: Pedestrian Recognition by Classification of Image Sequences — Global Approaches vs. Local Spatio-Temporal Processing (CW, UK, JKA), pp. 2540–2544.
ICPR-v2-2000-NgB #classification #segmentation #using: Supervised Texture Segmentation using DWT and a Modified K-NN Classifier (BWN, AB), pp. 2545–2548.
ICPR-v2-2000-MetzlerAPL #classification #image #matrix #multi: Texture Classification of Graylevel Images by Multiscale Cross-Cooccurrence Matrices (VM, TA, CP, TML), pp. 2549–2552.
ICPR-v2-2000-PingLK #detection #float #recognition: A Floating Feature Detector for Handwritten Numeral Recognition (ZP, CL, ACK), pp. 2553–2556.
ICPR-v2-2000-LehalS #recognition: A Gurmukhi Script Recognition System (GSL, CS), pp. 2557–2560.
ICPR-v2-2000-WuZZ #classification #network #recognition: A Neural Network Based Classifier for Handwritten Chinese Character Recognition (MW, BZ, LZ), pp. 2561–2564.
ICPR-v2-2000-FanW #approach: A Run-Length Coding Based Approach to Stroke Extraction of Chinese Characters (KCF, WHW), pp. 2565–2568.
ICPR-v2-2000-SinghH #database #recognition: Cursive Digit and Character Recognition on Cedar Database (SS, MH), pp. 2569–2572.
ICPR-v2-2000-El-NasanN: Ink-Link (AEN, GN), pp. 2573–2576.
ICPR-v2-2000-OliveiraVC #image #normalisation: Interpolation/Decimation Scheme Applied to Size Normalization of Characters Images (JJdOJ, LRV, JMdC), pp. 2577–2580.
ICPR-v2-2000-ZhangDL #classification #design #feature model #multi #recognition: Multi-Scale Feature Extraction and Nested-Subset Classifier Design for High Accuracy Handwritten Character Recognition (JZ, XD, CL), pp. 2581–2584.
ICPR-v2-2000-GrimPS #multi #recognition: Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals (JG, PP, PS), pp. 2585–2589.
ICPR-v2-2000-KosmalaRB #execution #online #recognition: On-Line Handwritten Formula Recognition with Integrated Correction Recognition and Execution (AK, GR, AB), pp. 2590–2593.
ICPR-v2-2000-KimSK #recognition #segmentation #string: Recognition of Unconstrained Handwritten Numeral Strings by Composite Segmentation Method (KKK, CYS, JHK), pp. 2594–2597.
ICPR-v2-2000-ChenW #analysis #segmentation #string #using: Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis (YKC, JFW), pp. 2598–2601.
ICPR-v2-2000-ParkerPR #recognition: Vector Templates for Symbol Recognition (JRP, JP, DR), pp. 2602–2605.
ICPR-v2-2000-KwakCC #image #performance #recognition #video: Video Caption Image Enhancement for an Efficient Character Recognition (SK, KC, YC), pp. 2606–2609.
ICPR-v2-2000-ZwartK #modelling: Constrained Mixture Modeling of Intrinsically Low-Dimensional Distributions (JPZ, BJAK), pp. 2610–2613.
ICPR-v2-2000-DahmenKGN #image #invariant #recognition #using: Invariant Image Object Recognition Using Mixture Densities (JD, DK, MOG, HN), pp. 2614–2617.
ICPR-v2-2000-Figueiredo #approximate #learning #on the: On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies (MATF), pp. 2618–2621.
ICPR-v2-2000-GoodeG #classification #parametricity: Semi-Parametric Signal Classification (AJG, RHG), pp. 2622–2625.
ICPR-v2-2000-AokiK #image #using: An Image Storage System Using Complex-Valued Associative Memories (HA, YK), pp. 2626–2629.
ICPR-v2-2000-MalekTA #classification #fault: Effect of the Feature Vector Size on the Generalization Error: The Case of MLPNN and RBFNN Classifiers (JEM, RT, AMA), pp. 2630–2633.
ICPR-v2-2000-KavallieratouSFK #learning #segmentation #using: Handwritten Character Segmentation Using Transformation-Based Learning (EK, ES, NF, GKK), pp. 2634–2637.
ICPR-v2-2000-CortadellasA #image #memory management: Image Associative Memory (JC, JA), pp. 2638–2641.
ICPR-v2-2000-NaphadeCHF #learning #modelling #multi: Learning Sparse Multiple Cause Models (MRN, LSC, TSH, BJF), pp. 2642–2647.
ICPR-v2-2000-HongH #learning #sequence: Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence (PH, TSH), pp. 2648–2651.
ICPR-v2-2000-MugurelVW #incremental #learning #multi #on the #recognition: On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes (ML, SV, GAWW), pp. 2652–2655.
ICPR-v2-2000-BurrellP #algorithm #detection #learning #online #parametricity #probability #process: Sequential Algorithms for Detecting Changes in Acting Stochastic Processes and On-Line Learning of their Operational Parameters (AB, TPK), pp. 2656–2659.
ICPR-v2-2000-WilsonH #capacity #correlation #exponential #memory management: Storage Capacity of the Exponential Correlation Associative Memory (RCW, ERH), pp. 2660–2663.
ICPR-v2-2000-HiraokaHHMMY #algorithm #analysis #learning #linear: Successive Learning of Linear Discriminant Analysis: Sanger-Type Algorithm (KH, KiH, MH, HM, TM, SY), pp. 2664–2667.
ICPR-v2-2000-SkurichinaYD #subclass: The Role of Subclasses in Machine Diagnostics (MS, AY, RPWD), pp. 2668–2671.
ICPR-v2-2000-TaxD: Data Description in Subspaces (DMJT, RPWD), pp. 2672–2675.
ICPR-v2-2000-JuanV #classification #edit distance #normalisation #on the #performance #string #using: On the Use of Normalized Edit Distances and an Efficient k-NN Search Technique (k-AESA) for Fast and Accurate String Classification (AJ, EV), pp. 2676–2679.
ICPR-v2-2000-LiuG #network: Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.
ICPR-v2-2000-StraussCA #robust #statistics: Rough Histograms for Robust Statistics (OS, FC, MJA), pp. 2684–2687.
ICPR-v2-2000-MenardDC #ambiguity #analysis #distance #modelling #using: Switching Regression Models Using Ambiguity and Distance Rejects: Application to Ionogram Analysis (MM, PAD, VC), pp. 2688–2691.
ICPR-v2-2000-DasarathyS #algorithm #editing #nearest neighbour: Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms — Data Dimensionality Effects (BVD, JSS), pp. 2692–2695.
ICPR-v2-2000-SunOKAKT #algorithm #approximate #distance #reduction: Two-Stage Computational Cost Reduction Algorithm Based on Mahalanobis Distance Approximations (FS, SO, NK, HA, SK, TT), pp. 2696–2699.
ICPR-v2-2000-Bax #using #validation: Using Validation by Inference to Select a Hypothesis Function (EB), pp. 2700–2703.
ICPR-v2-2000-ChenHF #algorithm #nearest neighbour: Winner-Update Algorithm for Nearest Neighbor Search (YSC, YPH, CSF), pp. 2704–2707.
ICPR-v2-2000-MitraMP #database #incremental #learning #scalability: Data Condensation in Large Databases by Incremental Learning with Support Vector Machines (PM, CAM, SKP), pp. 2708–2711.
ICPR-v2-2000-HermesB #feature model: Feature Selection for Support Vector Machines (LH, JMB), pp. 2712–2715.
ICPR-v2-2000-KimHL #retrieval: Retrieval of the Top N Matches with Support Vector Machines (JJK, BWH, SWL), pp. 2716–2719.
ICPR-v2-2000-ZhaoLX #recognition: Support Vector Machine and its Application in Handwritten Numeral Recognition (BZ, YL, SX), pp. 2720–2723.
ICPR-v2-2000-Ben-HurSHV #clustering: A Support Vector Clustering Method (ABH, HTS, DH, VV), pp. 2724–2727.
ICPR-v2-2000-PolickerG #algorithm #clustering #fuzzy #predict: A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering (SP, ABG), pp. 2728–2731.
ICPR-v2-2000-QianS #clustering: Clustering Combination Method (YQ, CYS), pp. 2732–2735.
ICPR-v2-2000-RibertEL #clustering: Clustering Data: Dealing with High Density Variations (AR, AE, YL), pp. 2736–2739.
ICPR-v2-2000-SelbBL #fuzzy: Fuzzy C-Means in an MDL-Framework (AS, HB, AL), pp. 2740–2743.
ICPR-v2-2000-KabanG #clustering #documentation: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents (AK, MG), pp. 2744–2747.
ICPR-v2-2000-Baram #pattern matching #pattern recognition #random #recognition: Random Embedding Machines for Low-Complexity Pattern Recognition (YB), pp. 2748–2754.
ICPR-v2-2000-MollinedaFV #classification #clustering #prototype: A Cluster-Based Merging Strategy for Nearest Prototype Classifiers (RAM, FJF, EV), pp. 2755–2758.
ICPR-v2-2000-ZhouLC: A Theoretical Justification of Nearest Feature Line Method (ZZ, SZL, KLC), pp. 2759–2762.
ICPR-v2-2000-BaggenstossN #classification #probability #using: A Theoretically Optimal Probabilistic Classifier Using Class-Specific Features (PMB, HN), pp. 2763–2768.
ICPR-v2-2000-MitaniH #classification #design #nearest neighbour #using: Classifier Design Based on the Use of Nearest Neighbor Samples (YM, YH), pp. 2769–2772.
ICPR-v2-2000-Kangas #classification #comparison #nearest neighbour #prototype #representation: Comparison between Two Prototype Representation Schemes for a Nearest Neighbor Classifier (JK), pp. 2773–2776.
ICPR-v2-2000-WeigelJP #estimation: Estimation of Probabilities for Edit Operations (AW, TJ, AP), pp. 2777–2780.
ICPR-v2-2000-TanY #convergence #distance #recognition #using: Object Recognition Using Fractal Neighbor Distance: Eventual Convergence and Recognition Rates (TT, HY), pp. 2781–2784.
ICPR-v2-2000-Fursov #pattern matching #pattern recognition #recognition #using: Training in Pattern Recognition from a Small Number of Observations Using Projections onto Null-Space (VAF), pp. 2785–2788.
ICPR-v2-2000-MiyamotoHM #classification #design #polynomial #using: Use of Bootstrap Samples in Quadratic Classifier Design (TM, YH, YM), pp. 2789–2792.
ICPR-v2-2000-TanakaII #evaluation #image #modelling #physics: An Attractiveness Evaluation Model Based on the Physical Features of Image Regions (ST, YI, SI), pp. 2793–2796.
ICPR-v2-2000-ZhuTW #identification: Biometric Personal Identification Based on Handwritin (YZ, TT, YW), pp. 2797–2800.
ICPR-v2-2000-ZhuTW00a #identification: Biometric Personal Identification Based on Iris Patterns (YZ, TT, YW), pp. 2801–2804.
ICPR-v2-2000-StainvasI #architecture #hybrid #network #recognition: Blurred Face Recognition via a Hybrid Network Architecture (IS, NI), pp. 2805–2808.
ICPR-v2-2000-AchermannB #distance #image: Classifying Range Images of Human Faces with Hausdorff Distance (BA, HB), pp. 2809–2813.
ICPR-v2-2000-LiG #detection #network #optimisation: Combining Feature Optimization into Neural Network Based Face Detection (SZL, QG), pp. 2814–2817.
ICPR-v2-2000-Zhao00b #analysis #component #recognition: Discriminant Component Analysis for Face Recognition (WYZ), pp. 2818–2821.
ICPR-v2-2000-BurgeB: Ear Biometrics in Computer Vision (MB, WB), pp. 2822–2826.
ICPR-v2-2000-YilmazG: Eigenhill vs. Eigenface and Eigenedge (AY, MG), pp. 2827–2830.
ICPR-v2-2000-BollePR #authentication #evaluation: Evaluation Techniques for Biometrics-Based Authentication Systems (FRR) (RMB, SP, NKR), pp. 2831–2837.
ICPR-v2-2000-HwangLBV #re-engineering: Face Reconstruction from a Small Number of Feature Points (BWH, SWL, VB, TV), pp. 2838–2837.
ICPR-v2-2000-ChenSWS #estimation #using: Head Pose Estimation Using both Color and Feature Information (QC, TS, HW, TS), pp. 2842–2841.
ICPR-v2-2000-BhanuBT #feature model #image #logic: Logical Templates for Feature Extraction in Fingerprint Images (BB, MB, XT), pp. 2846–2850.
ICPR-v2-2000-HuangY #using #verification: Signature Verification using Fractal Transformation (KH, HY), pp. 2851–2854.
ICPR-v2-2000-SarkarN #classification: Classification of Style-Constrained Pattern-Fields (PS, GN), pp. 2855–2858.
ICPR-v2-2000-ChoKBBY #classification #image: Core-Based Fingerprint Image Classification (BHC, JSK, JHB, IGB, KYY), pp. 2859–2862.
ICPR-v2-2000-LauYT #algorithm #image: EDT Based Tracing Maximum Thinning Algorithm on Grey Scale Images (KKL, PCY, YYT), pp. 2863–2866.
ICPR-v2-2000-SerratosaAS #algorithm #graph #performance: Efficient Algorithms for Matching Attributed Graphs and Function-Described Graphs (FS, RA, AS), pp. 2867–2872.
ICPR-v2-2000-MacLeanT #image #pattern matching #pattern recognition #performance #recognition #using: Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid (WJM, JKT), pp. 2873–2877.
ICPR-v2-2000-Salotti #algorithm #composition: Improvement of Perez and Vidal Algorithm for the Decomposition of Digitized Curves into Line Segments (MS), pp. 2878–2882.
ICPR-v2-2000-AmengualV #estimation #on the #parametricity: On the Estimation of Error-Correcting Parameters (JCA, EV), pp. 2883–2886.
ICPR-v2-2000-HontaniD #approximate #generative #multi: Primitive Curve Generation Based on Multiscale Contour Figure Approximation (HH, KD), pp. 2887–2890.
ICPR-v2-2000-MarzalB #distance #edit distance #string: Speeding Up the Computation of the Edit Distance for Cyclic Strings (AM, SB), pp. 2891–2894.
ICPR-v2-2000-FischerBB #database #image #symmetry: Symmetry Based Indexing of Diatoms in an Image Database (SF, MB, HB), pp. 2895–2898.
ICPR-v2-2000-TangXM00a #classification: Two-Step Classification Based on Scale Space (MT, JX, SM), pp. 2899–2902.
ICPR-v2-2000-Martinez-HinarejosJC #classification #string #using: Use of Median String for Classification (CDMH, AJ, FC), pp. 2903–2906.
ICPR-v2-2000-VarstaHMM #human-computer #interface #performance #set: Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee (MV, JH, JdRM, JM), pp. 2907–2910.
ICPR-v2-2000-LaoKST #3d #invariant #recognition #using: 3D Template Matching for Pose Invariant Face Recognition Using 3D Facial Model Built with Isoluminance Line Based Stereo Vision (SL, MK, YS, FT), pp. 2911–2916.
ICPR-v2-2000-KuritaTHSM #adaptation #detection #estimation #image #performance: Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search (TK, MT, KH, HS, TM), pp. 2917–2920.
ICPR-v2-2000-HongoOYY #gesture #human-computer #interactive #recognition: Face and Hand Gesture Recognition for Human-Computer Interaction (HH, MO, MY, KY), pp. 2921–2924.
ICPR-v2-2000-RaducanuG #locality #multi: Face Localization Based on the Morphological Multiscale Fingerprint (BR, MG), pp. 2925–2928.
ICPR-v2-2000-ChoudhuryP #modelling #robust: Motion Field Histograms for Robust Modeling of Facial Expressions (TC, AP), pp. 2929–2932.
ICPR-v2-2000-JingM #detection: Glasses Detection and Extraction by Deformable Contour (ZJ, RM), pp. 2933–2936.
ICPR-v2-2000-Sanchez-Reillo #geometry #modelling #pattern matching #pattern recognition #recognition: Hand Geometry Pattern Recognition through Gaussian Mixture Modeling (RSR), pp. 2937–2940.
ICPR-v2-2000-LinF #detection #geometry #using: Human Face Detection Using Geometric Triangle Relationship (CL, KCF), pp. 2941–2944.
ICPR-v2-2000-WuKS #gesture #programming #recognition: Improvement of Continuous Dynamic Programming for Human Gesture Recognition (HW, RK, TS), pp. 2945–2948.
ICPR-v2-2000-Mariani #constraints #invariant #recognition: Local Invariants and Local Constraints for Face Recognition (RM), pp. 2949–2952.
ICPR-v2-2000-RibaCVJ #classification #invariant: Methods for Invariant Signature Classification (JRR, AC, SV, IJ), pp. 2953–2956.
ICPR-v2-2000-PodolakLBM #hybrid: A Hybrid Neural System for Phonematic Transformation (ITP, SWL, AB, EM), pp. 2957–2960.
ICPR-v2-2000-WangXD #integration #multi #network #recognition: A New Integration Scheme with Multi-Layer Perceptron Networks for Handwritten Chinese Character Recognition (CHW, BX, RD), pp. 2961–2964.
ICPR-v2-2000-KimPL #design #network: A New Methodology to the Design of Associative Memories Based on Cellular Neural Networks (HYK, JP, SWL), pp. 2965–2968.
ICPR-v2-2000-SopenaA #named #network #parsing: ANNP: A Neural Network Parser for Real World Texts (JMS, MAA), pp. 2969–2972.
ICPR-v2-2000-ChenZN #network: Blind Separation Based on an Evolutionary Neural Network (YWC, XYZ, ZN), pp. 2973–2976.
ICPR-v2-2000-FyfeL #analysis #canonical #correlation #network: Canonical Correlation Analysis Neural Networks (CF, PLL), pp. 2977–2980.
ICPR-v2-2000-MesserK #algorithm #design #network #performance: Fast Unit Selection Algorithm for Neural Network Design (KM, JK), pp. 2981–2984.
ICPR-v2-2000-LohRW #incremental #learning #named #network: IFOSART: A Noise Resistant Neural Network Capable of Incremental Learning (AWKL, MCR, GAWW), pp. 2985–2988.
ICPR-v2-2000-AizenbergABF #image #multi #network #recognition: Image Recognition on the Neural Network Based on Multi-Valued Neurons (INA, NNA, CB, EF), pp. 2989–2992.
ICPR-v2-2000-TerrillonMSSA #detection #invariant #orthogonal: Invariant Neural-Network Based Face Detection with Orthogonal Fourier-Mellin Moments (JCT, DM, MS, YS, SA), p. 2993–?.
ICPR-v2-2000-VillelaA #network #recognition #using: Object Recognition by Indexing Using Neural Networks (PRV, JHSA), pp. 6001–6004.
ICPR-v2-2000-WilsonH00a #correlation #optimisation: Optimizing Pattern Recovery in Recurrent Correlation Associative Memories (RCW, ERH), pp. 6005–6009.
ICPR-v2-2000-Raudys #adaptation #classification: Prior Weights in Adaptive Pattern Classification (SR), pp. 6010–6013.
ICPR-v2-2000-Haindl #recursion: Recursive Square-Root Filters (MH), pp. 6014–6017.
ICPR-v2-2000-UgenaAA #independence #network #recognition #speech: Speaker-Independent Speech Recognition by Means of Functional-Link Neural Networks (AU, FdA, MEA), pp. 6018–6021.
ICPR-v2-2000-SanfeliuAS #clustering #graph #synthesis: Clustering of Attributed Graphs and Unsupervised Synthesis of Function-Described Graphs (AS, RA, FS), pp. 6022–6025.
ICPR-v2-2000-ShenIT #detection #energy: Detecting Reflection Axes by Energy Minimization (DS, HHSI, EKT), pp. 6026–6029.
ICPR-v2-2000-BajaS #3d #distance #editing #image #using: Editing 3D Binary Images Using Distance Transforms (GSdB, SS), pp. 6030–6033.
ICPR-v2-2000-CordellaFSV #component #detection #graph #image #performance: Fast Graph Matching for Detecting CAD Image Components (LPC, PF, CS, MV), pp. 6034–6037.
ICPR-v2-2000-JiangY: Fingerprint Minutiae Matching Based on the Local and Global Structures (XJ, WYY), pp. 6038–6041.
ICPR-v2-2000-PerchantB #fuzzy #graph #morphism: Graph Fuzzy Homomorphism Interpreted as Fuzzy Association Graphs (AP, IB), pp. 6042–6045.
ICPR-v2-2000-Tambouratzis #classification: Improving the Classification Accuracy of the Scanning n-tuple Method (GT), pp. 6046–6049.
ICPR-v2-2000-KimK #estimation #graph #parametricity #random #recognition: Minimum Entropy Estimation of Hierarchical Random Graph Parameters for Character Recognition (HYK, JHK), pp. 6050–6053.
ICPR-v2-2000-ChenC #recursion: Recursive Conversion of Chain Code into Quadtree with Table Lookup (ZC, IPC), pp. 6054–6057.
ICPR-v2-2000-MelkemiVC #set: Shapes of Weighted Points Sets (MM, DV, LC), pp. 6058–6061.
ICPR-v2-2000-BrandLO #image #retrieval #statistics: Statistical Shape Features in Content-Based Image Retrieval (SSB, JL, EO), pp. 6062–6066.

Proceedings of the 15th International Conference on Pattern Recognition, Volume 2ICPR v2, 2000.

Contents (250 items)

Proceedings of the 15th International Conference on Pattern Recognition, Volume 2
ICPR v2, 2000.