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» Using PageRank in Feature Selection
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FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 4 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
ISMIS
2011
Springer
13 years 29 days ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg
CVPR
2010
IEEE
14 years 6 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
ICASSP
2009
IEEE
14 years 4 months ago
Speaker recognition using syllable-based constraints for cepstral frame selection
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...
Tobias Bocklet, Elizabeth Shriberg
ETS
2011
IEEE
230views Hardware» more  ETS 2011»
12 years 9 months ago
Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...