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» Accelerated Kernel Feature Analysis
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ICPR
2008
IEEE
14 years 9 months ago
Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Ch...
ACCV
2007
Springer
14 years 2 months ago
Kernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...
Wen-Sheng Vincent Chu, Ju-Chin Chen, Jenn-Jier Jam...
IPPS
2006
IEEE
14 years 1 months ago
Accelerating DTI tractography using FPGAs
Diffusion Tensor Imaging (DTI) tractography in Magnetic Resonance Imaging (MRI) is a computationally intensive procedure, requiring on the order of tens of minutes to complete tr...
Kwatra Kwatra, Viktor K. Prasanna, Mitali Singh
TOG
2010
106views more  TOG 2010»
13 years 2 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs
ESANN
2006
13 years 9 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski