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CVPR
2005
IEEE
14 years 3 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
ICASSP
2009
IEEE
14 years 1 months ago
From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems
Statistical Spoken LanguageUnderstandinggrammars (SSLUs) are often used only at the top recognition contexts of modern large-scale spoken dialog systems. We propose to use SSLUs a...
David Suendermann, Keelan Evanini, Jackson Liscomb...
ICASSP
2011
IEEE
13 years 1 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce
ICIP
1999
IEEE
14 years 11 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres
JMM2
2008
92views more  JMM2 2008»
13 years 10 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar