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ICASSP
2010
IEEE
15 years 5 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
ICIP
1997
IEEE
16 years 8 months ago
Higher order local autocorrelation features of PARCOR images for gesture recognition
This paper proposes a feature extraction method for gesture recognition, which is based on higher order local autocorrelation (HLAC) of PARCOR images. To extract dominant informat...
Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima
ICPR
2010
IEEE
16 years 4 days ago
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...
Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian...
PAMI
2011
14 years 9 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
CVPR
2007
IEEE
16 years 8 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar