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» Using Induction to Refine Information Retrieval Strategies
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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
IUI
2004
ACM
14 years 1 months ago
Evaluating adaptive user profiles for news classification
Never before have so many information sources been available. Most are accessible on-line and some exist on the Internet alone. However, this large information quantity makes inte...
Ricardo Carreira, Jaime M. Crato
SIGMOD
2006
ACM
426views Database» more  SIGMOD 2006»
14 years 7 months ago
Effective keyword search in relational databases
With the amount of available text data in relational databases growing rapidly, the need for ordinary users to search such information is dramatically increasing. Even though the ...
Fang Liu, Clement T. Yu, Weiyi Meng, Abdur Chowdhu...
SIGIR
2011
ACM
12 years 10 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
KDD
2007
ACM
193views Data Mining» more  KDD 2007»
14 years 8 months ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu