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JMLR
2012
11 years 10 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
TACAS
2009
Springer
89views Algorithms» more  TACAS 2009»
14 years 2 months ago
Hierarchical Adaptive State Space Caching Based on Level Sampling
In the past, several attempts have been made to deal with the state space explosion problem by equipping a depth-first search (DFS) algorithm with a state cache, or by avoiding co...
Radu Mateescu, Anton Wijs
CVPR
2010
IEEE
14 years 21 days ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
13 years 5 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
14 years 1 months ago
Adaptive Sampling for Multi-Robot Wide-Area Exploration
— The exploration problem is a central issue in mobile robotics. A complete coverage is not practical if the environment is large with a few small hotspots, and the sampling cost...
Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan...