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CVPR
2006
IEEE
16 years 17 days ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
ALT
2009
Springer
15 years 7 months ago
Iterative Learning from Texts and Counterexamples Using Additional Information
Abstract. A variant of iterative learning in the limit (cf. [LZ96]) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target la...
Sanjay Jain, Efim B. Kinber
ALT
2004
Springer
15 years 7 months ago
Prediction with Expert Advice by Following the Perturbed Leader for General Weights
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
Marcus Hutter, Jan Poland
FCT
2009
Springer
15 years 5 months ago
Directed Graphs of Entanglement Two
Entanglement is a complexity measure for directed graphs that was used to show that the variable hierarchy of the propositional modal µ-calculus is strict. While graphs of entangl...
Erich Grädel, Lukasz Kaiser, Roman Rabinovich
CVPR
2008
IEEE
15 years 5 months ago
Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses
We propose a method that detects and segments multiple, partially occluded objects in images. A part hierarchy is defined for the object class. Whole-object segmentor and part de...
Bo Wu, Ram Nevatia, Yuan Li