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AAAI
2012
13 years 9 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
ICIP
2001
IEEE
16 years 8 months ago
Efficient feature extraction for 2D/3D objects in mesh representation
Meshes are dominantly used to represent 3D models as they fit well with graphics rendering hardware. Features such as volume, moments, and Fourier transform coefficients need to b...
Cha Zhang, Tsuhan Chen
MICCAI
2004
Springer
16 years 7 months ago
Integrated Intensity and Point-Feature Nonrigid Registration
Abstract. In this work, we present a method for the integration of feature and intensity information for non rigid registration. Our method is based on a free-form deformation mode...
Xenophon Papademetris, Andrea P. Jackowski, Robert...
ICSE
2004
IEEE-ACM
16 years 6 months ago
Feature-Oriented Programming and the AHEAD Tool Suite
1 Feature Oriented Programming (FOP) is an emerging paradigm for application synthesis, analysis, and optimization. A target application is specified declaratively as a set of feat...
Don S. Batory
CVPR
2007
IEEE
16 years 26 days ago
Pedestrian Detection in Infrared Images based on Local Shape Features
Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available. We investiga...
Li Zhang, Bo Wu, Ram Nevatia