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CVPR
2007
IEEE
14 years 4 days ago
Local Ensemble Kernel Learning for Object Category Recognition
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
DIS
2009
Springer
14 years 11 days ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
ACSC
2004
IEEE
13 years 9 months ago
Lossless Image Compression Using Pixel Reordering
Lossless image compression techniques typically consider images to be a sequence of pixels in row major order. The processing of each pixel consists of two separate operations. Th...
Michael Ciavarella, Alistair Moffat
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 9 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
CVPR
2010
IEEE
13 years 11 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia