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» On the Optimality of the Dimensionality Reduction Method
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MM
2010
ACM
238views Multimedia» more  MM 2010»
15 years 6 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan

Book
357views
17 years 4 months ago
Foundations of Constraint Satisfaction
"Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many a...
Edward Tsang
MICCAI
2004
Springer
16 years 7 months ago
On Normalized Convolution to Measure Curvature Features for Automatic Polyp Detection
Early removal of polyps has proven to decrease the incidence of colon cancer. We aim to increase the sensitivity of the screening by automatic detection of polyps. It requires accu...
Cees van Wijk, Roel Truyen, Rogier E. van Gelder, ...
VMCAI
2007
Springer
16 years 7 days ago
Constraint Solving for Interpolation
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing separation between the sets of ‘good...
Andrey Rybalchenko, Viorica Sofronie-Stokkermans
ICMCS
2005
IEEE
143views Multimedia» more  ICMCS 2005»
15 years 11 months ago
Rate-distortion estimation for H.264/AVC coders
In a video coder, the optimal coding mode decision for each coding block could be achieved by exhaustively calculating the Lagrange cost (which includes the coding distortion plus...
Yu-Kuang Tu, Jar-Ferr Yang, Ming-Ting Sun