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189
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ICPR
2008
IEEE
15 years 10 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
164
Voted
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 3 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
141
Voted
WWW
2010
ACM
15 years 3 months ago
Efficient resource allocation and power saving in multi-tiered systems
In this paper, we present Fastrack, a parameter-free algorithm for dynamic resource provisioning that uses simple statistics to promptly distill information about changes in workl...
Andrew Caniff, Lei Lu, Ningfang Mi, Ludmila Cherka...
91
Voted
WWW
2004
ACM
16 years 4 months ago
Lessons from a Gnutella-web gateway
We present a gateway between the WWW and the Gnutella peer-topeer network that permits searchers on one side to be able to search and retrieve files on the other side of the gatew...
Brian D. Davison, Wei Zhang, Baoning Wu
158
Voted
PAA
2010
15 years 2 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...