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» Lessons Learned from Real DSL Experiments
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PAMI
2008
140views more  PAMI 2008»
14 years 9 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ECR
2007
116views more  ECR 2007»
14 years 9 months ago
Enabling assisted strategic negotiations in actual-world procurement scenarios
In the everyday business world, the sourcing process of multiple goods and services usually involves complex negotiations (via telephone, fax, etc) that include discussion of prod...
Jesús Cerquides, Maite López-S&aacut...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 4 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
CHI
2011
ACM
14 years 1 months ago
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Little research exists on one of the most common, oldest, and most utilized forms of online social geographic information: the “location” field found in most virtual community...
Brent Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi
CVPR
2005
IEEE
15 years 12 months ago
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
This paper proposes a novel method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: p...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar