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» A rough set approach to multiple dataset analysis
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ICMCS
2006
IEEE
180views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches
This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigat...
Margarita Kotti, Luis P. M. Martins, Emmanouil Ben...
COLING
2010
14 years 8 months ago
Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art
State-of-the-art approaches for unsupervised keyphrase extraction are typically evaluated on a single dataset with a single parameter setting. Consequently, it is unclear how effe...
Kazi Saidul Hasan, Vincent Ng
BMCBI
2010
167views more  BMCBI 2010»
15 years 1 months ago
Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of met
Background: Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurat...
Melissa J. Morine, Jolene McMonagle, Sinead Toomey...
IJKESDP
2010
94views more  IJKESDP 2010»
14 years 8 months ago
Neuro-fuzzy-combiner: an effective multiple classifier system
: A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
CVPR
2006
IEEE
15 years 5 months ago
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set
The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...