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» Learning the Relative Importance of Features in Image Data
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APCCM
2009
15 years 28 days ago
A Semantic Associative Computation Method for Automatic Decorative-Multimedia Creation with 'Kansei' Information
In the design of multimedia systems, one of the important issues is how to deal with "Kansei" of human beings. The concept of "Kansei" in Japanese includes sev...
Yasushi Kiyoki, Xing Chen
IJCV
2010
261views more  IJCV 2010»
14 years 10 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
WWW
2010
ACM
15 years 6 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
CVPR
1996
IEEE
1457views Computer Vision» more  CVPR 1996»
16 years 1 months ago
Edge Detection and Ridge Detection with Automatic Scale Selection
When computing descriptors of image data, the type of information that can be extracted may be strongly dependent on the scales at which the image operators are applied. This arti...
Tony Lindeberg
JMLR
2008
209views more  JMLR 2008»
14 years 11 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger