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» New Feature Extraction Approaches for Face Recognition
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ICASSP
2011
IEEE
14 years 10 months ago
PAC-Bayesian approach for minimization of phoneme error rate
We describe a new approach for phoneme recognition which aims at minimizing the phoneme error rate. Building on structured prediction techniques, we formulate the phoneme recogniz...
Joseph Keshet, David A. McAllester, Tamir Hazan
AVBPA
2003
Springer
172views Biometrics» more  AVBPA 2003»
15 years 11 months ago
Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search
: Constraint Shape Model is proposed to extract facial feature using two different search methods for contour points and control points individually. In the proposed algorithm, sal...
Baochang Zhang, Wen Gao, Shiguang Shan, Wei Wang
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 12 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ICCV
2005
IEEE
16 years 26 min ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
ICIP
2009
IEEE
15 years 4 months ago
Selecting representative and distinctive descriptors for efficient landmark recognition
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
Sheng Gao, Joo-Hwee Lim