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BMVC
2010
15 years 4 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
SIGCOMM
2005
ACM
16 years 6 days ago
Using redundancy to cope with failures in a delay tolerant network
We consider the problem of routing in a delay tolerant network (DTN) in the presence of path failures. Previous work on DTN routing has focused on using precisely known network dy...
Sushant Jain, Michael J. Demmer, Rabin K. Patra, K...
CIKM
2006
Springer
15 years 10 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
182
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EMNLP
2009
15 years 4 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
ICDAR
1999
IEEE
15 years 11 months ago
Heeding More Than the Top Template
We present a method of classifying a pattern using information furnished by a ranked list of templates, rather than just the best matching template. We propose a parsimonious mode...
Prateek Sarkar, George Nagy