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157
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WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 11 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 3 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
165
Voted
LISA
2004
15 years 4 months ago
autoMAC: A Tool for Automating Network Moves, Adds, and Changes
It is often difficult and time-consuming to manage computer `moves, adds, and changes' that take place in a switched, subnetted environment. It is even more difficult when th...
Christopher J. Tengi, James M. Roberts, Joseph R. ...
CVPR
1998
IEEE
16 years 5 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
CVPR
2007
IEEE
16 years 5 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
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