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

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@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 (, 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.

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