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A general framework for relation graph clusteringBO LONG; ZHONGFEI ZHANG; YU, Philip S et al.Knowledge and information systems (Print). 2010, Vol 24, Num 3, pp 393-413, issn 0219-1377, 21 p.Conference Paper

Improving clustering by learning a bi-stochastic data similarity matrixFEI WANG; PING LI; CHRISTIAN KONIG, Arnd et al.Knowledge and information systems (Print). 2012, Vol 32, Num 2, pp 351-382, issn 0219-1377, 32 p.Article

Cost-Sensitive Sequences of Bregman DivergencesSANTOS-RODRIGUEZ, Raúl; CID-SUEIRO, Jesus.IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 12, pp 1896-1904, issn 2162-237X, 9 p.Article

A geometric view of conjugate priorsAGARWAL, Arvind; DAUME, Hal.Machine learning. 2010, Vol 81, Num 1, pp 99-113, issn 0885-6125, 15 p.Conference Paper

Semi-Supervised Kernel Mean Shift ClusteringANAND, Saket; MITTAL, Sushil; TUZEL, Oncel et al.IEEE transactions on pattern analysis and machine intelligence. 2014, Vol 36, Num 6, pp 1201-1215, issn 0162-8828, 15 p.Article

BREGMAN DIVERGENCES FOR GROWING HIERARCHICAL SELF-ORGANIZING NETWORKSLOPEZ-RUBIO, Ezequiel; PALOMO, Esteban José; DOMINGUEZ, Enrique et al.International journal of neural systems. 2014, Vol 24, Num 4, issn 0129-0657, 1450016.1-1450016.18Article

Bregman Divergences and Surrogates for LearningNOCK, Richard; NIELSEN, Frank.IEEE transactions on pattern analysis and machine intelligence. 2009, Vol 31, Num 11, pp 2048-2059, issn 0162-8828, 12 p.Article

On weighting clusteringNOCK, Richard; NIELSEN, Frank.IEEE transactions on pattern analysis and machine intelligence. 2006, Vol 28, Num 8, pp 1223-1235, issn 0162-8828, 13 p.Article

Nonnegative approximations of nonnegative tensorsLIM, Lek-Heng; COMON, Pierre.Journal of chemometrics. 2009, Vol 23, Num 7-8, pp 432-441, issn 0886-9383, 10 p.Article

Information-Estimation Relationships Over Binomial and Negative Binomial ModelsTABORDA, Camilo G; DONGNING GUO; PEREZ-CRUZ, Fernando et al.IEEE transactions on information theory. 2014, Vol 60, Num 5, pp 2630-2646, issn 0018-9448, 17 p.Article

Transfer latent variable model based on divergence analysisXINBO GAO; XIUMEI WANG; XUELONG LI et al.Pattern recognition. 2011, Vol 44, Num 10-11, pp 2358-2366, issn 0031-3203, 9 p.Article

Functional Bregman Divergence and Bayesian Estimation of DistributionsFRIGYIK, Béla A; SRIVASTAVA, Santosh; GUPTA, Maya R et al.IEEE transactions on information theory. 2008, Vol 54, Num 11, pp 5130-5139, issn 0018-9448, 10 p.Article

Divergence measures for statistical data processing—An annotated bibliographyBASSEVILLE, Michèle.Signal processing. 2013, Vol 93, Num 4, pp 621-633, issn 0165-1684, 13 p.Article

Bregman divergences in the (m×k)-partitioning problemKOKOLAKIS, G; NANOPOULOS, Ph; FOUSKAKIS, D et al.Computational statistics & data analysis. 2006, Vol 51, Num 2, pp 668-678, issn 0167-9473, 11 p.Article

Big-data Feature Screening Using Bregman DivergenceCHENG, J; CHENG, Q; ZARGHAM, M et al.Image processing, computer vision, & pattern recognition. International conferenceWorldComp'2011. 2011, pp 219-223, isbn 1-60132-189-9 1-60132-190-2 1-60132-191-0, 5 p.Conference Paper

Means of Hermitian positive-definite matrices based on the log-determinant α-divergence functionCHEBBI, Zeineb; MOAKHER, Maher.Linear algebra and its applications. 2012, Vol 436, Num 7, pp 1872-1889, issn 0024-3795, 18 p.Article

Bayes Risk Error is a Bregman DivergenceVARSHNEY, Kush R.IEEE transactions on signal processing. 2011, Vol 59, Num 9, pp 4470-4472, issn 1053-587X, 3 p.Article

α-Divergence Is Unique, Belonging to Both f-Divergence and Bregman Divergence ClassesAMARI, Shun-Ichi.IEEE transactions on information theory. 2009, Vol 55, Num 11, pp 4925-4931, issn 0018-9448, 7 p.Article

Cost-sensitive learning based on Bregman divergencesSANTOS-RODRIGUEZ, Raúl; GUERRERO-CURIESES, Alicia; ALAIZ-RODRIGUEZ, Rocio et al.Machine learning. 2009, Vol 76, Num 2-3, pp 271-285, issn 0885-6125, 15 p.Conference Paper

Quantization of Prior Probabilities for Collaborative Distributed Hypothesis TestingBUM RHIM, Joong; VARSHNEY, Lav R; GOYAL, Vivek K et al.IEEE transactions on signal processing. 2012, Vol 60, Num 9, pp 4537-4550, issn 1053-587X, 14 p.Article

Extending metric multidimensional scaling with Bregman divergencesJIGANG SUN; CROWE, Malcolm; FYFE, Colin et al.Pattern recognition. 2011, Vol 44, Num 5, pp 1137-1154, issn 0031-3203, 18 p.Article

Leading strategies in competitive on-line predictionVOVK, Vladimir.Theoretical computer science. 2008, Vol 405, Num 3, pp 285-296, issn 0304-3975, 12 p.Conference Paper

Simplification and hierarchical representations of mixtures of exponential familiesGARCIA, V; NIELSEN, F.Signal processing. 2010, Vol 90, Num 12, pp 3197-3212, issn 0165-1684, 16 p.Article

MATRIX NEARNESS PROBLEMS WITH BREGMAN DIVERGENCESDHILLON, Inderjit S; TROPP, Joel A.SIAM journal on matrix analysis and applications. 2008, Vol 29, Num 4, pp 1120-1146, issn 0895-4798, 27 p.Article

Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance MatricesCHERIAN, Anoop; SRA, Suvrit; BANERJEE, Arindam et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 9, pp 2161-2174, issn 0162-8828, 14 p.Article

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