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ICCV
2009
IEEE
13 years 8 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
13 years 5 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
TASLP
2010
106views more  TASLP 2010»
13 years 5 months ago
Efficient and Robust Music Identification With Weighted Finite-State Transducers
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
CVPR
2003
IEEE
15 years 8 days ago
Subset Selection for Efficient SVM Tracking
We update the SVM score of an object through a video sequence with a small and variable subset of support vectors. In the first frame we use all the support vectors to compute the...
Shai Avidan
CVPR
2008
IEEE
15 years 8 days ago
Efficient sequential correspondence selection by cosegmentation
In many retrieval, object recognition and wide baseline stereo methods, correspondences of interest points are established possibly sublinearly by matching a compact descriptor su...
Jan Cech, Jiri Matas, Michal Perdoch