Search results for "large margin"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li	A Large Margin Classifier with Additional Features.	MLDM	2009	DBLP DOI BibTeX RDF	Large Margin Framework, Incremental Missing Features Learning, Support Vector Machine, Kernel Method
3	Brian Quanz, Jun Huan	Large margin transductive transfer learning.	CIKM	2009	DBLP DOI BibTeX RDF	large margin classifier, kernel method, transfer learning, transductive learning
3	Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang	Structured large margin machines: sensitive to data distributions.	Machine Learning	2007	DBLP DOI BibTeX RDF	Large margin learning, Weighted Mahalanobis distance (WMD), Homospace, Second order cone programming (SOCP), Structured learning, Agglomerative hierarchical clustering
3	J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty	Clustering based large margin classification: a scalable approach using SOCP formulation.	KDD	2006	DBLP DOI BibTeX RDF	BIRCH, large margin classification, scalability, Gaussian mixture models
2	Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales	Medical coding classification by leveraging inter-code relationships.	KDD	2010	DBLP DOI BibTeX RDF	large margin, medical coding, classification, multi-label classification, L1 regularization, medical data mining
2	Trinh Minh Tri Do, Thierry Artières	Large margin training for hidden Markov models with partially observed states.	ICML	2009	DBLP DOI BibTeX RDF
2	Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg	Learning Large Margin First Order Decision Lists for Multi-Class Classification.	Discovery Science	2009	DBLP DOI BibTeX RDF
2	Buzhou Tang, Xuan Wang, Xiaolong Wang	Protein Secondary Structure Prediction Using Large Margin Methods.	ACIS-ICIS	2009	DBLP DOI BibTeX RDF
2	Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg	Multi-class protein fold recognition using large margin logic based divide and conquer learning.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	protein fold recognition, support vector inductive logic programming, evaluation, support vector machines, bioinformatics, inductive logic programming, multi-class classification
2	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu	Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik	Large margin vs. large volume in transductive learning.	Machine Learning	2008	DBLP DOI BibTeX RDF	Large margin, Large volume, TSVM, Learning principles, Transductive learning
2	Tsung-Hui Chang, Zhi-Quan Luo, Li Deng, Chong-Yung Chi	A convex optimization method for joint mean and variance parameter estimation of large-margin CDHMM.	ICASSP	2008	DBLP DOI BibTeX RDF
2	B. Venkataramana B. Kini, C. Chandra Sekhar	Large margin AR model for time series classification.	ICPR	2008	DBLP DOI BibTeX RDF
2	Santhosh Kodipaka, Arunava Banerjee, Baba C. Vemuri	Large margin pursuit for a Conic Section classifier.	CVPR	2008	DBLP DOI BibTeX RDF
2	Nati Linial, Adi Shraibman	Learning Complexity vs. Communication Complexity.	IEEE Conference on Computational Complexity	2008	DBLP DOI BibTeX RDF	large margin classifiers, communication complexity, discrepancy, rigidity
2	Xinwei Li, Hui Jiang	Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming.	IEEE Transactions on Audio, Speech & Language Processing	2007	DBLP DOI BibTeX RDF
2	M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman	An Invariant Large Margin Nearest Neighbour Classifier.	ICCV	2007	DBLP DOI BibTeX RDF
2	Dong Yu, Li Deng	Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition.	ICSC	2007	DBLP DOI BibTeX RDF
2	K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya	Kernels for Large Margin Time-Series Classification.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Hui Jiang, Xinwei Li, Chaojun Liu	Large margin hidden Markov models for speech recognition.	IEEE Transactions on Audio, Speech & Language Processing	2006	DBLP DOI BibTeX RDF
2	Ingo Mierswa	Evolutionary learning with kernels: a generic solution for large margin problems.	GECCO	2006	DBLP DOI BibTeX RDF	machine learning, support vector machines, kernel methods, evolution strategies, particle swarms
2	Cai-Kou Chen, Qian-qian Peng, Jing-Yu Yang	A Modified Large Margin Classifier in Hidden Space for Face Recognition.	MRCS	2006	DBLP DOI BibTeX RDF
2	Hsuan-Tien Lin, Ling Li	Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.	ALT	2006	DBLP DOI BibTeX RDF
2	Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen	Classification with Support Hyperplanes.	ECML	2006	DBLP DOI BibTeX RDF	Large Margin and Instance-based Classifiers, Kernel Methods
2	Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin	Learning structured prediction models: a large margin approach.	ICML	2005	DBLP DOI BibTeX RDF
2	Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir	Building Sparse Large Margin Classifiers.	ICML	2005	DBLP DOI BibTeX RDF
2	Ofer Dekel, Joseph Keshet, Yoram Singer	Large margin hierarchical classification.	ICML	2004	DBLP DOI BibTeX RDF
2	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu	Learning large margin classifiers locally and globally.	ICML	2004	DBLP DOI BibTeX RDF
2	Julia Neumann, Christoph Schnörr, Gabriele Steidl	Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers.	CAIP	2003	DBLP DOI BibTeX RDF
2	Fei Sha, Lawrence K. Saul, Daniel D. Lee	Multiplicative Updates for Large Margin Classifiers.	COLT	2003	DBLP DOI BibTeX RDF
2	Jyrki Kivinen, Alex J. Smola, Robert C. Williamson	Large Margin Classification for Moving Targets.	ALT	2002	DBLP DOI BibTeX RDF
2	Ming-Hsuan Yang, Dan Roth, Narendra Ahuja	Face detection using large margin classifiers.	ICIP	2001	DBLP DOI BibTeX RDF
2	Sergio Bermejo, Joan Cabestany	Large Margin Nearest Neighbor Classifiers.	IWANN	2001	DBLP DOI BibTeX RDF
2	Koji Tsuda, Shotaro Akaho	Large Margin Classifier via Semiparametric Inference.	IJCNN	2000	DBLP DOI BibTeX RDF
1	Manas A. Pathak, Bhiksha Raj	Large Margin Gaussian Mixture Models with Differential Privacy.	IEEE Trans. Dependable Sec. Comput.	2012	DBLP DOI BibTeX RDF
1	Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, Greg Mori	A large margin framework for single camera offline tracking with hybrid cues.	Computer Vision and Image Understanding	2012	DBLP DOI BibTeX RDF
1	Xinjun Peng, Yifei Wang	Geometric Algorithms to Large Margin Classifier Based on Affine Hulls.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar	Perturbation based Large Margin Approach for Ranking.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy	Large Margin Filtering.	IEEE Transactions on Signal Processing	2012	DBLP DOI BibTeX RDF
1	Nanhai Yang, Ran He, Wei-Shi Zheng, Xiukun Wang	Robust large margin discriminant tangent analysis for face recognition.	Neural Computing and Applications	2012	DBLP DOI BibTeX RDF
1	Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu	Large-margin feature selection for monotonic classification.	Knowl.-Based Syst.	2012	DBLP DOI BibTeX RDF
1	Sheng Liu, Yixin Chen, Dawn Wilkins	Large margin classifiers and Random Forests for integrated biological prediction.	IJBRA	2012	DBLP DOI BibTeX RDF
1	Sivan Sabato, Nati Srebro, Naftali Tishby	Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics	CoRR	2012	DBLP BibTeX RDF
1	Sungrack Yun, Chang D. Yoo	Loss-Scaled Large-Margin Gaussian Mixture Models for Speech Emotion Classification.	IEEE Transactions on Audio, Speech & Language Processing	2012	DBLP DOI BibTeX RDF
1	Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims	Large-Margin Learning of Submodular Summarization Models.	EACL	2012	DBLP BibTeX RDF
1	Fei Wang 0001, Bin Zhao, Changshui Zhang	Unsupervised Large Margin Discriminative Projection.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Hui Xue, Songcan Chen, Qiang Yang	Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Shima Tabibian, Akram Shokri, Ahmad Akbari, Babak Nasersharif	Performance evaluation for an HMM-based keyword spotter and a large-margin based one in noisy environments.	Procedia CS	2011	DBLP DOI BibTeX RDF
1	Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu	Dynamic time warping constraint learning for large margin nearest neighbor classification.	Inf. Sci.	2011	DBLP DOI BibTeX RDF
1	Huixin Wang, Xiaotong Shen, Wei Pan	Large Margin Hierarchical Classification with Mutually Exclusive Class Membership.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Shiliang Sun, Qiaona Chen	Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification.	IJPRAI	2011	DBLP DOI BibTeX RDF
1	Minyoung Kim, Vladimir Pavlovic	Sequence classification via large margin hidden Markov models.	Data Min. Knowl. Discov.	2011	DBLP DOI BibTeX RDF
1	Xi-chuan Zhou, Hai-bin Shen, Jie-ping Ye	Integrating outlier filtering in large margin training.	Journal of Zhejiang University - Science C	2011	DBLP DOI BibTeX RDF
1	Youngmin Cho, Lawrence K. Saul	Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification	CoRR	2011	DBLP BibTeX RDF
1	Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims	Large-Margin Learning of Submodular Summarization Methods	CoRR	2011	DBLP BibTeX RDF
1	Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy	Large margin filtering for signal sequence labeling	CoRR	2011	DBLP BibTeX RDF
1	Qinghua Hu, Pengfei Zhu, Yongbin Yang, Daren Yu	Large-margin nearest neighbor classifiers via sample weight learning.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Ji-Yuan Pan, Jiang-She Zhang	Large margin based nonnegative matrix factorization and partial least squares regression for face recognition.	Pattern Recognition Letters	2011	DBLP DOI BibTeX RDF
1	Sungwoong Kim, Sungrack Yun, Chang D. Yoo	Large Margin Discriminative Semi-Markov Model for Phonetic Recognition.	IEEE Transactions on Audio, Speech & Language Processing	2011	DBLP DOI BibTeX RDF
1	Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang	Variability regularization in large-margin classification.	ICASSP	2011	DBLP DOI BibTeX RDF
1	Khalid Daoudi, Reda Jourani, Régine André-Obrecht, Driss Aboutajdine	Speaker Identification Using Discriminative Learning of Large Margin GMM.	ICONIP	2011	DBLP DOI BibTeX RDF
1	Jun Zhu, Ning Chen, Eric P. Xing	Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.	ICML	2011	DBLP BibTeX RDF
1	Matthias Kirmse, Uwe Petersohn	Large margin rectangle learning an alternative way to learn interpretable and representative models.	SoCPaR	2011	DBLP DOI BibTeX RDF
1	Madhavi Vedula Ratnagiri, Biing-Hwang Juang, Lawrence R. Rabiner	Large Margin - Minimum Classification Error Using Sum of Shifted Sigmoids as the Loss Function.	INTERSPEECH	2011	DBLP BibTeX RDF
1	Yuhong Guo, Dale Schuurmans	Adaptive Large Margin Training for Multilabel Classification.	AAAI	2011	DBLP BibTeX RDF
1	Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim	Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.	AAAI	2011	DBLP BibTeX RDF
1	Rocco A. Servedio, Philip M. Long	Algorithms and hardness results for parallel large margin learning.	NIPS	2011	DBLP BibTeX RDF
1	Philip M. Long, Rocco A. Servedio	Learning large-margin halfspaces with more malicious noise.	NIPS	2011	DBLP BibTeX RDF
1	Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence	Multi-view transfer learning with a large margin approach.	KDD	2011	DBLP DOI BibTeX RDF
1	Elena Marchiori	Class Conditional Nearest Neighbor for Large Margin Instance Selection.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	heuristics design, machine learning, learning, artificial intelligence, Computing methodologies
1	Jing Chai, Hongwei Liu, Bo Chen, Zheng Bao	Large margin nearest local mean classifier.	Signal Processing	2010	DBLP DOI BibTeX RDF
1	Chunhua Shen, Junae Kim, Lei Wang 0001	Scalable large-margin Mahalanobis distance metric learning.	IEEE Transactions on Neural Networks	2010	DBLP DOI BibTeX RDF
1	Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul	Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models.	J. Sel. Topics Signal Processing	2010	DBLP DOI BibTeX RDF
1	Xu Miao, Rajesh P. N. Rao	Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks	CoRR	2010	DBLP BibTeX RDF
1	Sivan Sabato, Nathan Srebro, Naftali Tishby	Tight Sample Complexity of Large-Margin Learning	CoRR	2010	DBLP BibTeX RDF
1	Chunhua Shen, Junae Kim, Lei Wang 0001	Scalable Large-Margin Mahalanobis Distance Metric Learning	CoRR	2010	DBLP BibTeX RDF
1	Manas A. Pathak, Bhiksha Raj	Large Margin Multiclass Gaussian Classification with Differential Privacy	CoRR	2010	DBLP BibTeX RDF
1	Youngmin Cho, Lawrence K. Saul	Large-Margin Classification in Infinite Neural Networks.	Neural Computation	2010	DBLP DOI BibTeX RDF
1	Priti R. Hathy, Sasmita Kumari Padhy, Siba Prasada Panigrahi, Prashant K. Patra	A Novel Channel Equalizer Using Large Margin Algebraic Perceptron Network.	JCM	2010	DBLP DOI BibTeX RDF
1	Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana	Large margin classifiers based on affine hulls.	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	Minyoung Kim	Large margin cost-sensitive learning of conditional random fields.	Pattern Recognition	2010	DBLP DOI BibTeX RDF
1	Manas A. Pathak, Bhiksha Raj	Large Margin Multiclass Gaussian Classification with Differential Privacy.	PSDML	2010	DBLP DOI BibTeX RDF
1	Franz Pernkopf, Michael Wohlmayr	Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models.	ECML/PKDD	2010	DBLP DOI BibTeX RDF
1	Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy	Large margin filtering for Signal Sequence Labeling.	ICASSP	2010	DBLP DOI BibTeX RDF
1	Vladimir Magdin, Hui Jiang	Large margin estimation of n-gram language models for speech recognition via linear programming.	ICASSP	2010	DBLP DOI BibTeX RDF
1	T. Veena, A. D. Dileep, Chellu Chandra Sekhar	Scene Categorization Using Large Margin Gaussian Mixture Models.	IPCV	2010	DBLP BibTeX RDF
1	Qiaona Chen, Shiliang Sun	Hierarchical Large Margin Nearest Neighbor Classification.	ICPR	2010	DBLP DOI BibTeX RDF
1	Hakan Cevikalp, Hasan Serhan Yavuz	Large Margin Classifier Based on Affine Hulls.	ICPR	2010	DBLP DOI BibTeX RDF
1	Tomoyuki Shibata, Susumu Kubota, Satoshi Ito	Large Margin Discriminant Hashing for Fast k-Nearest Neighbor Classification.	ICPR	2010	DBLP DOI BibTeX RDF
1	Irene Ayllón Clemente, Martin Heckmann, Alexander Denecke, Britta Wrede, Christian Goerick	Incremental word learning using large-margin discriminative training and variance floor estimation.	INTERSPEECH	2010	DBLP BibTeX RDF
1	Reda Jourani, Khalid Daoudi, Régine André-Obrecht, Driss Aboutajdine	Large margin Gaussian mixture models for speaker identification.	INTERSPEECH	2010	DBLP BibTeX RDF
1	Xiang-Yun Qing, Peng Ding, Xing-Yu Wang	Learning large margin nearest neighbor classifiers via cutting plane algorithm.	ICMLC	2010	DBLP DOI BibTeX RDF
1	Jun Zhu, Li-Jia Li, Fei-Fei Li, Eric P. Xing	Large Margin Learning of Upstream Scene Understanding Models.	NIPS	2010	DBLP BibTeX RDF
1	Sivan Sabato, Nathan Srebro, Naftali Tishby	Tight Sample Complexity of Large-Margin Learning.	NIPS	2010	DBLP BibTeX RDF
1	Ning Chen, Jun Zhu, Eric P. Xing	Predictive Subspace Learning for Multi-view Data: a Large Margin Approach.	NIPS	2010	DBLP BibTeX RDF
1	Shibin Parameswaran, Kilian Q. Weinberger	Large Margin Multi-Task Metric Learning.	NIPS	2010	DBLP BibTeX RDF
1	Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia	Multi-label learning by Image-to-Class distance for scene classification and image annotation.	CIVR	2010	DBLP DOI BibTeX RDF	Image-to-Class distance, multi-label learning, automatic image annotation, scene classification
1	Bo Chen, Hongwei Liu, Jing Chai, Zheng Bao	Large Margin Feature Weighting Method via Linear Programming.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
1	Mingrui Wu, Jieping Ye	A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Jianqiang Shen, Thomas G. Dietterich	A family of large margin linear classifiers and its application in dynamic environments.	Statistical Analysis and Data Mining	2009	DBLP DOI BibTeX RDF