Search results for "MCS"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Manuela Zanda, Gavin Brown 0001, Giorgio Fumera, Fabio Roli	Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation.	MCS	2007	DBLP DOI BibTeX RDF
1	Terry Windeatt, Matthew Prior	Stopping Criteria for Ensemble-Based Feature Selection.	MCS	2007	DBLP DOI BibTeX RDF	RFE, feature selection, Multiple Classifiers, ECOC
1	Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin	Kernel Combination Versus Classifier Combination.	MCS	2007	DBLP DOI BibTeX RDF
1	Ludmila I. Kuncheva, Juan José Rodríguez	An Experimental Study on Rotation Forest Ensembles.	MCS	2007	DBLP DOI BibTeX RDF	Rotation Forest, Pattern recognition, Feature extraction, Classifier ensembles
1	Michal Haindl, Stanislav Mikes	Unsupervised Texture Segmentation Using Multiple Segmenters Strategy.	MCS	2007	DBLP DOI BibTeX RDF
1	Battista Biggio, Giorgio Fumera, Fabio Roli	Bayesian Analysis of Linear Combiners.	MCS	2007	DBLP DOI BibTeX RDF
1	Roberto Tronci, Giorgio Giacinto, Fabio Roli	Index Driven Combination of Multiple Biometric Experts for AUC Maximisation.	MCS	2007	DBLP DOI BibTeX RDF
1	Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis	Classifiers Fusion in Recognition of Wheat Varieties.	MCS	2007	DBLP DOI BibTeX RDF
1	Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst	Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks.	MCS	2007	DBLP DOI BibTeX RDF	Diversity, Bayesian Belief Networks, Multiple Classifier Systems
1	Kaspar Riesen, Horst Bunke	Classifier Ensembles for Vector Space Embedding of Graphs.	MCS	2007	DBLP DOI BibTeX RDF
1	Michael Muhlbaier, Robi Polikar	An Ensemble Approach for Incremental Learning in Nonstationary Environments.	MCS	2007	DBLP DOI BibTeX RDF	Nonstationary environment, Learn?+?+?.NSE, concept drift
1	Shiliang Sun	Ensemble Learning Methods for Classifying EEG Signals.	MCS	2007	DBLP DOI BibTeX RDF	boosting, ensemble learning, bagging, random subspace, EEG signal classification
1	Roman Bertolami, Horst Bunke	Multiple Classifier Methods for Offline Handwritten Text Line Recognition.	MCS	2007	DBLP DOI BibTeX RDF
1	Norman Poh, Guillaume Heusch, Josef Kittler	On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers.	MCS	2007	DBLP DOI BibTeX RDF
1	Julien Meynet, Jean-Philippe Thiran	Information Theoretic Combination of Classifiers with Application to AdaBoost.	MCS	2007	DBLP DOI BibTeX RDF	information theory, diversity, AdaBoost, classifier combination
1	Shiliang Sun	An Improved Random Subspace Method and Its Application to EEG Signal Classification.	MCS	2007	DBLP DOI BibTeX RDF	ensemble diversity, ensemble learning, random subspace, EEG signal classification
1	Jón Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel	Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments.	MCS	2007	DBLP DOI BibTeX RDF
1	Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva	Selecting Diversifying Heuristics for Cluster Ensembles.	MCS	2007	DBLP DOI BibTeX RDF	diversifying heuristics, genetic algorithms, Pattern recognition, multiple classifier systems, cluster ensembles
1	Samy Bengio, Johnny Mariéthoz	Biometric Person Authentication Is a Multiple Classifier Problem.	MCS	2007	DBLP DOI BibTeX RDF
1	Kai Lienemann, Thomas Plötz, Gernot A. Fink	On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data.	MCS	2007	DBLP DOI BibTeX RDF
1	Krzysztof Kryszczuk, Andrzej Drygajlo	Q-stack: Uni- and Multimodal Classifier Stacking with Quality Measures.	MCS	2007	DBLP DOI BibTeX RDF	statistical pattern classification, stacking, quality measures, classifier ensembles, confidence measures
1	Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya	A Co-training Approach for Time Series Prediction with Missing Data.	MCS	2007	DBLP DOI BibTeX RDF	fuzzy inductive reasoning, ensemble prediction, semi-supervised learning, k-nearest neighbor, missing data, Time series prediction, co-training
1	Ángel Serrano 0002, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, LinLin Shen	Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification.	MCS	2007	DBLP DOI BibTeX RDF	Bilateral 2D Principal Component Analysis, Parallel Gabor Principal Component Analysis, Support Vector Machine, Principal Component Analysis, Biometrics, Gabor Wavelet, Face Verification
1	Omer Berkman, Nathan Intrator	Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data.	MCS	2007	DBLP DOI BibTeX RDF	Weak Learners, Dynamic Bayesian Networks, Time Series Data, Genetic Networks
1	Juan José Rodríguez, Ludmila I. Kuncheva	Naïve Bayes Ensembles with a Random Oracle.	MCS	2007	DBLP DOI BibTeX RDF
1	Sergey Tulyakov, Venu Govindaraju, Chaohong Wu	Optimal Classifier Combination Rules for Verification and Identification Systems.	MCS	2007	DBLP DOI BibTeX RDF
1	Yun Sheng Chung, D. Frank Hsu, Chuan Yi Tang	On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles.	MCS	2007	DBLP DOI BibTeX RDF
1	Yijuan Lu, Qi Tian 0001, Thomas S. Huang	Interactive Boosting for Image Classification.	MCS	2007	DBLP DOI BibTeX RDF	Feature Re-weighting, Relevance Feedback, Adaboost, Multiple Classifiers
1	Hugo Silva 0001, Ana L. N. Fred	Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection.	MCS	2007	DBLP DOI BibTeX RDF
1	Claudio Marrocco, Paolo Simeone, Francesco Tortorella	Embedding Reject Option in ECOC Through LDPC Codes.	MCS	2007	DBLP DOI BibTeX RDF	multiple classifier systems, coding theory, LDPC, reject option, ECOC
1	Shoushan Li, Chengqing Zong	Classifier Combining Rules Under Independence Assumptions.	MCS	2007	DBLP DOI BibTeX RDF	Combining Rules, Pattern Classification, Multiple Classifier System
1	Jesús Maudes, Juan José Rodríguez, César Ignacio García-Osorio	Cascading for Nominal Data.	MCS	2007	DBLP DOI BibTeX RDF	Nominal Data, Cascade Generalization, Support Vector Machines, Decision Trees, Ensembles
1	Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.	A New HMM-Based Ensemble Generation Method for Numeral Recognition.	MCS	2007	DBLP DOI BibTeX RDF	Codebook Size, Clustering Validity Index, Pattern Recognition, Hidden Markov Models, Ensemble of Classifiers
1	Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento	On Rejecting Unreliably Classified Patterns.	MCS	2007	DBLP DOI BibTeX RDF

Publications at "MCS"( http://dblp.L3S.de/Venues/MCS )