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ICASSP
2008
IEEE
15 years 6 months ago
Multiple kernel learning for speaker verification
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
Chris Longworth, Mark J. F. Gales
ICCV
2009
IEEE
14 years 9 months ago
Group-sensitive multiple kernel learning for object categorization
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
ICONIP
2009
14 years 9 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
ICIP
2006
IEEE
16 years 1 months ago
Virtual Craniofacial Reconstruction from Computed Tomography Image Sequences Exhibiting Multiple Fractures
A novel procedure for in-silico (virtual) craniofacial reconstruction of human mandibles with multiple fractures from a sequence of Computed Tomography (CT) images is presented. T...
Ananda S. Chowdhury, Suchendra M. Bhandarkar, Robe...
WSDM
2012
ACM
236views Data Mining» more  WSDM 2012»
13 years 7 months ago
Effective query formulation with multiple information sources
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query ...
Michael Bendersky, Donald Metzler, W. Bruce Croft