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Results 1 to 25 of 2950

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Automated situation clustering of home photos for digital albumingYANG, Seungji; SANG KYUN KIM; YONG MAN RO et al.SPIE proceedings series. 2005, pp 212-223, isbn 0-8194-5655-1, 12 p.Conference Paper

Auto-weighted support vector machines for training sets with multi-duplicate samplesJIA YINSHAN; JIA CHUANYING; MA HENG et al.International Conference on Signal Processing. 2004, pp 1447-1450, isbn 0-7803-8406-7, 4 p.Conference Paper

Algorithmes de classification de signaux avec des paramètres aléatoiresAFANAS'EV, V. P.Radiotehnika i èlektronika. 1987, Vol 32, Num 1, pp 97-104, issn 0033-8494Article

Discarding wide baseline mismatches via topological clusteringWANG; ZHANG, D. Z; TIAN, J. W et al.Electronics Letters. 2008, Vol 44, Num 11, pp 670-671, issn 0013-5194, 2 p.Article

Efficient global clustering using the Greedy Elimination MethodCHAN, Z. S. H; KASABOV, N.Electronics Letters. 2004, Vol 40, Num 25, pp 1611-1612, issn 0013-5194, 2 p.Article

Selection of best clustering features in a wavelet packet libraryCHINRUNGRUENG, Jatuporn; MEYER, Francois G.Analog and digital techniques in electrical engineering. Conference. 2004, isbn 0-7803-8560-8, Vol1, 239-242Conference Paper

Some properties of the fuzzy equivalence matricesJUN ZHANG; BING YANG; XIAOMAO LIU et al.Proceedings of SPIE, the International Society for Optical Engineering. 2007, pp 67882B.1-67882B.7, issn 0277-786X, isbn 978-0-8194-6952-6, 1VolConference Paper

Assessing the quality of fuzzy partitions using relative intersectionKIM, Dae-Won; KIM, Young-Il; LEE, Doheon et al.IEICE transactions on information and systems. 2005, Vol 88, Num 3, pp 594-602, issn 0916-8532, 9 p.Article

Cluster validation using information stability measuresPASCUAL, Damaris; PLA, Filiberto; SANCHEZ, J. Salvador et al.Pattern recognition letters. 2010, Vol 31, Num 6, pp 454-461, issn 0167-8655, 8 p.Article

A document clustering algorithm for discovering and describing topicsANAYA-SANCHEZ, Henry; PONS-PORRATA, Aurora; BERLANGA-LLAVORI, Rafael et al.Pattern recognition letters. 2010, Vol 31, Num 6, pp 502-510, issn 0167-8655, 9 p.Article

A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series DataMITSUI, Shigeyuki; SAKATA, Katsumi; NOBORI, Hiroya et al.IEICE transactions on information and systems. 2008, Vol 91, Num 9, pp 2369-2371, issn 0916-8532, 3 p.Article

The Research of Invulnerability in Complex Optical NetworksYONGLI ZHAO; JIE ZHANG; LI LI et al.Proceedings of SPIE, the International Society for Optical Engineering. 2008, Vol 7137, issn 0277-786X, isbn 9780819473776, 71372L.1-71372L.8, 2Conference Paper

Is there a best classifier?RICHARDS, John.Proceedings of SPIE, the International Society for Optical Engineering. 2005, pp 59820A.1-59820A.19, issn 0277-786X, isbn 0-8194-6002-8, 1VolConference Paper

Techniques for generating multi-resolution repositories of XML subschemasCHEN, Yih-Feng; JAY KUO, C.-C.SPIE proceedings series. 2005, pp 530-540, isbn 0-8194-5658-6, 2Vol, 11 p.Conference Paper

Multiclass classification machine based on the analytical centerXIANGQIAN LI; JIANHAI YUE; YONGGANG LENG et al.International Conference on Signal Processing. 2004, pp 1471-1474, isbn 0-7803-8406-7, 4 p.Conference Paper

Quantifying the correlation effects of fused classifiersSCHUBERT, Christine M; LEAP, Nathan J; OXLEY, Mark E et al.SPIE proceedings series. 2004, pp 373-383, isbn 0-8194-5352-8, 11 p.Conference Paper

Using membership functions to improve multi-class SVM classificationWANG, Xiaodan; WU, Chongming.International Conference on Signal Processing. 2004, pp 1459-1462, isbn 0-7803-8406-7, 4 p.Conference Paper

Design of reject rules for ECOC classification systemsSIMEONE, P; MARROCCO, C; TORTORELLA, F et al.Pattern recognition. 2012, Vol 45, Num 2, pp 863-875, issn 0031-3203, 13 p.Article

A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learningFEN XIA; YANG, Yan-Wu; LIANG ZHOU et al.Pattern recognition. 2009, Vol 42, Num 7, pp 1572-1581, issn 0031-3203, 10 p.Article

Resampling-based selective clustering ensemblesYI HONG; KWONG, Sam; HANLI WANG et al.Pattern recognition letters. 2009, Vol 30, Num 3, pp 298-305, issn 0167-8655, 8 p.Article

Automatic Acronym Dictionary Construction Based on Acronym Generation TypesYOON, Yeo-Chan; PARK, So-Young; SONG, Young-In et al.IEICE transactions on information and systems. 2008, Vol 91, Num 5, pp 1584-1587, issn 0916-8532, 4 p.Article

Multidimensional svm to include the samples of the derivatives in the reconstruction of a functionPEREZ-CRUZ, Fernando; LAZARO, Marcelino; ARTES-RODRIGUEZ, Antonio et al.EUSIPCO. Conference. 2004, isbn 3-200-00148-8, 3Vol, volI, 597-600Conference Paper

Improvements to the relational fuzzy c-means clustering algorithmKHALILIA, Mohammed A; BEZDEK, James; POPESCU, Mihail et al.Pattern recognition. 2014, Vol 47, Num 12, pp 3920-3930, issn 0031-3203, 11 p.Article

An indication of unification for different clustering approachesCORREA-MORRIS, Jyrko.Pattern recognition. 2013, Vol 46, Num 9, pp 2548-2561, issn 0031-3203, 14 p.Article

On categorical feature aided target trackingDRUMMOND, Oliver E.SPIE proceedings series. 2003, pp 544-558, isbn 0-8194-5077-4, 15 p.Conference Paper

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