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» Measuring and Predicting Object Importance
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PAMI
2006
206views more  PAMI 2006»
14 years 11 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
VCIP
2000
128views Communications» more  VCIP 2000»
15 years 18 days ago
Video Quality Experts Group: current results and future directions
Subjective assessment methods have been used reliably for many years to evaluate video quality. They continue to provide the most reliable assessments compared to objective method...
Ann M. Rohaly, Philip J. Corriveau, John M. Libert...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 6 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
ICCV
1998
IEEE
16 years 1 months ago
Recognition of Plane Projective Symmetry
A novel approach to grouping symmetrical planar curves under a projective transform is described. Symmetric curves are important as a generic model for object recognition where an...
Rupert W. Curwen, Charles V. Stewart, Joseph L. Mu...
WWW
2011
ACM
14 years 6 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han