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» Learning Algorithms for Domain Adaptation
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NIPS
2004
15 years 2 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
105
Voted
ICS
2010
Tsinghua U.
15 years 10 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
99
Voted
AAAI
2007
15 years 3 months ago
Gender-Sensitive Automated Negotiators
This paper introduces an innovative approach for automated negotiating using the gender of human opponents. Our approach segments the information acquired from previous opponents,...
Ron Katz, Sarit Kraus
97
Voted
IROS
2008
IEEE
203views Robotics» more  IROS 2008»
15 years 7 months ago
Learning equivalent action choices from demonstration
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
Sonia Chernova, Manuela M. Veloso
IJAR
2007
96views more  IJAR 2007»
15 years 22 days ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang