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» Semi-Supervised Kernel Matching for Domain Adaptation
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AAAI
2012
11 years 6 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
NAACL
2010
13 years 2 months ago
Syntactic/Semantic Structures for Textual Entailment Recognition
In this paper, we describe an approach based on off-the-shelf parsers and semantic resources for the Recognizing Textual Entailment (RTE) challenge that can be generally applied t...
Yashar Mehdad, Alessandro Moschitti, Fabio Massimo...
CVPR
2010
IEEE
14 years 13 days ago
Visual Event Recognition in Videos by Learning from Web Data
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo
AI
2010
Springer
13 years 4 months ago
Kernel functions for case-based planning
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning p...
Ivan Serina