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» Parallelizing Feature Selection
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108
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ICIP
2003
IEEE
16 years 4 months ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
ASAP
2006
IEEE
111views Hardware» more  ASAP 2006»
15 years 8 months ago
Fast Bit Compression and Expansion with Parallel Extract and Parallel Deposit Instructions
Current microprocessor instruction set architectures are word oriented, with some subword support. Many important applications, however, can realize substantial performance benefi...
Yedidya Hilewitz, Ruby B. Lee
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
138
Voted
TIP
2008
142views more  TIP 2008»
15 years 2 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
IIS
2004
15 years 3 months ago
Genetic Algorithm as an Attributes Selection Tool for Learning Algorithms
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...
Halina Kwasnicka, Piotr Orski