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» Optimizing Feature Sets for Structured Data
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ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ISLPED
2003
ACM
127views Hardware» more  ISLPED 2003»
14 years 24 days ago
Lightweight set buffer: low power data cache for multimedia application
A new architectural technique to reduce power dissipation in data caches is proposed. In multimedia applications, a major portion of data cache accesses hit in the same cache set ...
Jun Yang 0002, Youtao Zhang
IVC
2007
187views more  IVC 2007»
13 years 7 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
CICLING
2008
Springer
13 years 9 months ago
Verb Class Discovery from Rich Syntactic Data
Abstract. Previous research has shown that syntactic features are the most informative features in automatic verb classification. We investigate their optimal characteristics by co...
Lin Sun, Anna Korhonen, Yuval Krymolowski
HAIS
2008
Springer
13 years 8 months ago
Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction
Abstract. Functional Magnetic Resonance Imaging (fMRI) data is collected ceaselessly during brain research, which implicates some important information. It need to be extracted and...
Hongbo Liu, Ajith Abraham, Hong Ye