BibSLEIGH — Proceedings of the Eighth International Conference on Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Proceedings of the Eighth International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2012.

KER

@proceedings{MLDM-2012,
	address       = "Berlin, Germany",
	doi           = "10.1007/978-3-642-31537-4",
	editor        = "Petra Perner",
	isbn          = "978-3-642-31536-7",
	publisher     = "{Springer International Publishing}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the Eighth International Conference on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 7376,
	year          = 2012,
}

Contents (51 items)

MLDM-2012-TurkovKM #approach #concept #pattern matching #pattern recognition #problem #recognition: Bayesian Approach to the Concept Drift in the Pattern Recognition Problems (PAT, OK, VM), pp. 1–10.
MLDM-2012-CeciAVMPG #classification #paradigm #relational: Transductive Relational Classification in the Co-training Paradigm (MC, AA, HLV, DM, EP, HG), pp. 11–25.
MLDM-2012-YangW #classification #modelling: Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral (RY, ZW), pp. 26–39.
MLDM-2012-NguyenF #programming: A General Lp-norm Support Vector Machine via Mixed 0-1 Programming (HTN, KF), pp. 40–49.
MLDM-2012-Kovacs #distance #reduction: Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure (LK), pp. 50–62.
MLDM-2012-JoenssenB: Hot Deck Methods for Imputing Missing Data — The Effects of Limiting Donor Usage (DWJ, UB), pp. 63–75.
MLDM-2012-BharambeDP #named #performance: BINER — BINary Search Based Efficient Regression (SB, HD, VP), pp. 76–85.
MLDM-2012-MondalPMMB #approach #clustering #concept analysis #mining #using: A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis (KCM, NP, AM, UM, SB), pp. 86–101.
MLDM-2012-LiHO #approach #correlation #mining: Top-N Minimization Approach for Indicative Correlation Change Mining (AL, MH, YO), pp. 102–116.
MLDM-2012-LeiteBV #algorithm #classification #testing: Selecting Classification Algorithms with Active Testing (RL, PB, JV), pp. 117–131.
MLDM-2012-Thombre #classification #network: Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.
MLDM-2012-SapkotaBS #grammar inference #principle #using: Unsupervised Grammar Inference Using the Minimum Description Length Principle (US, BRB, APS), pp. 141–153.
MLDM-2012-OshiroPB #how #question #random: How Many Trees in a Random Forest? (TMO, PSP, JAB), pp. 154–168.
MLDM-2012-XuCG #concept #learning #multi #using: Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy (TX, DKYC, IG), pp. 169–182.
MLDM-2012-BouhamedMLR #heuristic #learning #network: A New Learning Structure Heuristic of Bayesian Networks from Data (HB, AM, TL, AR), pp. 183–197.
MLDM-2012-PitelisT #learning: Discriminant Subspace Learning Based on Support Vectors Machines (NP, AT), pp. 198–212.
MLDM-2012-HoaD #learning: A New Learning Strategy of General BAMs (NTH, TDB), pp. 213–221.
MLDM-2012-ToussaintB #comparison #empirical #learning: Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison (GTT, CB), pp. 222–236.
MLDM-2012-EbrahimiA #approach #clustering: Semi Supervised Clustering: A Pareto Approach (JE, MSA), pp. 237–251.
MLDM-2012-SilvaA #case study #clustering: Semi-supervised Clustering: A Case Study (AS, CA), pp. 252–263.
MLDM-2012-IsakssonDH #clustering #data type #named: SOStream: Self Organizing Density-Based Clustering over Data Stream (CI, MHD, MH), pp. 264–278.
MLDM-2012-TaTB #approach #clustering #data type #using: Clustering Data Stream by a Sub-window Approach Using DCA (MTT, LTHA, LBA), pp. 279–292.
MLDM-2012-VlaseMI #clustering #metadata #using: Improvement of K-means Clustering Using Patents Metadata (MV, DM, AI), pp. 293–305.
MLDM-2012-ChanguelL #independence #machine learning #metadata #problem: Content Independent Metadata Production as a Machine Learning Problem (SC, NL), pp. 306–320.
MLDM-2012-SiLQD #web: Discovering K Web User Groups with Specific Aspect Interests (JS, QL, TQ, XD), pp. 321–335.
MLDM-2012-BorawskiF #algorithm #automation #estimation #image: An Algorithm for the Automatic Estimation of Image Orientation (MB, DF), pp. 336–344.
MLDM-2012-JiangLS #correlation #image #multi: Multi-label Image Annotation Based on Neighbor Pair Correlation Chain (GJ, XL, ZS), pp. 345–354.
MLDM-2012-PirasGP #approach #image #retrieval: Enhancing Image Retrieval by an Exploration-Exploitation Approach (LP, GG, RP), pp. 355–365.
MLDM-2012-KhanCDE #3d #case study #correlation #incremental #symmetry: Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming (MSK, FC, CD, SES), pp. 366–379.
MLDM-2012-HossainC #behaviour #identification: Combination of Physiological and Behavioral Biometric for Human Identification (EH, GC), pp. 380–393.
MLDM-2012-GlodekSP #detection #process #recognition: Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition (MG, FS, GP), pp. 394–404.
MLDM-2012-PiatkowskaM #recognition: Computer Recognition of Facial Expressions of Emotion (EP, JM), pp. 405–414.
MLDM-2012-KalpakisYHMSSS #analysis #permutation #predict #using: Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data (KK, SY, PFMH, CFM, LGS, DMS, TMS), pp. 415–426.
MLDM-2012-Ba-KaraitSS #classification #hybrid #optimisation #using: EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization (NOSBK, SMS, RS), pp. 427–438.
MLDM-2012-JoutsijokiJ #case study #dataset: DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset (HJ, MJ), pp. 439–453.
MLDM-2012-NascimentoPS #classification #image #using: Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM (LBN, ACdP, ACS), pp. 454–466.
MLDM-2012-StaroszczykOM #analysis #comparative #feature model #recognition: Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia (TS, SO, TM), pp. 467–481.
MLDM-2012-CarvalhoPS #classification #image #using: Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM (PMdSC, ACdP, ACS), pp. 482–494.
MLDM-2012-Garcia-ConstantinoCNRS #approach #automation #classification #summary: A Semi-Automated Approach to Building Text Summarisation Classifiers (MGC, FC, PJN, AR, CS), pp. 495–509.
MLDM-2012-MaiorcaGC #detection #pattern matching #pattern recognition #recognition: A Pattern Recognition System for Malicious PDF Files Detection (DM, GG, IC), pp. 510–524.
MLDM-2012-Moreira-MatiasMGB #categorisation #classification #matrix #using: Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix (LMM, JMM, JG, PB), pp. 525–539.
MLDM-2012-PipanmaekapornL #effectiveness #mining: A Pattern Discovery Model for Effective Text Mining (LP, YL), pp. 540–554.
MLDM-2012-PaliwalP #clustering #documentation #segmentation: Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering (SP, VP), pp. 555–565.
MLDM-2012-MacchiaCM #mining #modelling #network #ranking: Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.
MLDM-2012-TabatabaeiAKK #classification #internet #machine learning: Machine Learning-Based Classification of Encrypted Internet Traffic (TST, MA, FK, MK), pp. 578–592.
MLDM-2012-SyarifZPW #detection: Application of Bagging, Boosting and Stacking to Intrusion Detection (IS, EZ, APB, GW), pp. 593–602.
MLDM-2012-ForczmanskiF #classification #distance #representation: Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation (PF, DF), pp. 603–616.
MLDM-2012-DiezC #approach #classification #multi #predict: A Multiclassifier Approach for Drill Wear Prediction (AD, AC), pp. 617–630.
MLDM-2012-WangYL #corpus: Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus (ZW, JY, XL), pp. 631–644.
MLDM-2012-Herrera-YagueZ #network #predict: Prediction of Telephone User Attributes Based on Network Neighborhood Information (CHY, PJZ), pp. 645–659.
MLDM-2012-SinghCS #approach #hybrid #performance #recognition #using: A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines (LS, GC, DS), pp. 660–668.

Petra PernerProceedings of the Eighth International Conference on Machine Learning and Data Mining in Pattern RecognitionMLDM, 2012.

Contents (51 items)

Petra Perner
Proceedings of the Eighth International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2012.