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Natural image sequences constrain dynamic receptive fields and imply a sparse codeHÄUSLER, Chris; SUSEMIHL, Alex; NAWROT, Martin P et al.Brain research. 2013, Vol 1536, pp 53-67, issn 0006-8993, 15 p.Conference Paper

A similarity-based approach to data sparseness problem of Chinese language modelingJINGHUI XIAO; BINGQUAN LIU; XIAOLONG WANG et al.Lecture notes in computer science. 2005, pp 761-769, issn 0302-9743, isbn 3-540-29896-7, 1Vol, 9 p.Conference Paper

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Underdetermined blind sparse source separation for arbitrarily arranged multiple sensorsARAKI, Shoko; SAWADA, Hiroshi; MUKAI, Ryo et al.Signal processing. 2007, Vol 87, Num 8, pp 1833-1847, issn 0165-1684, 15 p.Conference Paper

Texture sparseness for pixel classification of business document imagesCOTE, Melissa; ALBU, Alexandra Branzan.International journal on document analysis and recognition (Print). 2014, Vol 17, Num 3, pp 257-273, issn 1433-2833, 17 p.Article

Sparse source separation based on simultaneous clustering of source locational and spectral featuresARAKI, Shoko; NAKATANI, Tomohiro; SAWADA, Hiroshi et al.Acoustical science and technology. 2011, Vol 32, Num 4, pp 161-164, issn 1346-3969, 4 p.Article

D-SAB: A Sparse matrix benchmark SuiteSTATHIS, Pyrrhos; VASSILIADIS, Stamatis; COTOFANA, Sorin et al.Lecture notes in computer science. 2003, pp 549-554, issn 0302-9743, isbn 3-540-40673-5, 6 p.Conference Paper

Face aging simulation and recognition based on NMF algorithm with sparseness constraintsDU, Ji-Xiang; ZHAI, Chuan-Min; YE, Yong-Qing et al.Neurocomputing (Amsterdam). 2013, Vol 116, pp 250-259, issn 0925-2312, 10 p.Article

From spatial frequency contrast to edge preponderance: the differential modulation of early visual evoked potentials by natural scene stimuliHANSEN, Bruce C; JACQUES, Theodore; JOHNSON, Aaron P et al.Visual neuroscience (Print). 2011, Vol 28, Num 3, pp 221-237, issn 0952-5238, 17 p.Article

Non-negative and sparse spectral clusteringHONGTAO LU; ZHENYONG FU; XIN SHU et al.Pattern recognition. 2014, Vol 47, Num 1, pp 418-426, issn 0031-3203, 9 p.Article

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Sparse Source Imaging in Electroencephalography With Accurate Field ModelingLEI DING; BIN HE.Human brain mapping. 2008, Vol 29, Num 9, pp 1053-1067, issn 1065-9471, 15 p.Article

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The restricted influence of sparseness of coding on the capacity of familiarity discrimination networksBOGACZ, Rafal; BROWN, Malcolm W.Network (Bristol. Print). 2002, Vol 13, Num 4, pp 457-485, issn 0954-898X, 29 p.Article

A sparse multinomial probit model for classificationYUNFEI DING; HARRISON, Robert F.Pattern analysis and applications (Print). 2011, Vol 14, Num 1, pp 47-55, issn 1433-7541, 9 p.Article

On the sparseness of 1-norm support vector machinesLI ZHANG; WEIDA ZHOU.Neural networks. 2010, Vol 23, Num 3, pp 373-385, issn 0893-6080, 13 p.Article

Statistical regularities in art: Relations with visual coding and perceptionGRAHAM, Daniel J; REDIES, Christoph.Vision research (Oxford). 2010, Vol 50, Num 16, pp 1503-1509, issn 0042-6989, 7 p.Article

Practical word-sense disambiguation using co-occurring concept codesYOUJIN CHUNG; LEE, Jong-Hyeok.Machine translation. 2005, Vol 19, Num 1, pp 59-82, issn 0922-6567, 24 p.Article

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A Sparse Estimation Approach to Fault IsolationBORGUET, S; LEONARD, O.Journal of engineering for gas turbines and power. 2010, Vol 132, Num 2, issn 0742-4795, 021601.1-021601.7Article

A simplified low rank and sparse graph for semi-supervised learningMIAOYUN ZHAO; LICHENG JIAO; JIE FENG et al.Neurocomputing (Amsterdam). 2014, Vol 140, pp 84-96, issn 0925-2312, 13 p.Article