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TKDE
2008
121views more  TKDE 2008»
13 years 9 months ago
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Shuiwang Ji, Jieping Ye
CAIP
2001
Springer
120views Image Analysis» more  CAIP 2001»
14 years 2 months ago
Texture Feature Extraction and Classification
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, i...
Brijesh Verma, Siddhivinayak Kulkarni
ISBI
2006
IEEE
14 years 10 months ago
Texture-based segmentation of the knee bones in MRI using phase information
This paper considers the problem of tissue classification in 3D MRI by the mean of texture analysis. The main contribution is the use of the phase of the complex MR image, to deri...
Peter Stanwell, Pierrick Bourgeat, Sébastie...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 4 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
EEE
2005
IEEE
14 years 3 months ago
Predicting the Survival or Failure of Click-and-Mortar Corporations
With the boom in e-business, several corporations have emerged in the late nineties that have primarily conducted their business through the Internet and the Web. They have come t...
Indranil Bose, Raktim Pal