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WWW
2008
ACM
14 years 11 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 10 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
ICDE
2010
IEEE
211views Database» more  ICDE 2010»
14 years 5 months ago
ROX: The robustness of a run-time XQuery optimizer against correlated data
— We demonstrate ROX, a run-time optimizer of XQueries, that focuses on finding the best execution order of XPath steps and relational joins in an XQuery. The problem of join or...
Riham Abdel Kader, Peter A. Boncz, Stefan Manegold...
CVPR
2009
IEEE
14 years 5 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 4 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua