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BLISS
2009
IEEE
14 years 10 months ago
Recognition of Dynamic Texture Patterns Using CHLAC Features
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyaj...
CVPR
2005
IEEE
15 years 11 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 9 months ago
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kant...
CIKM
2009
Springer
15 years 1 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
ICIP
2003
IEEE
15 years 11 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...