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» Application of Level Set Methods in Computer Vision
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238
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CVPR
2010
IEEE
15 years 10 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
213
Voted
ISBI
2007
IEEE
16 years 1 months ago
A Novel Tag Removal Technique for Tagged Cardiac Mri and Its Applications
In this paper we present a novel tag removal method for tagged cardiac MR images. This method is based on a 2D bandstop filtering technique, which selectively attenuates the tag ...
Zhen Qian, Rui Huang, Dimitris N. Metaxas, Leon Ax...
3DPVT
2006
IEEE
203views Visualization» more  3DPVT 2006»
16 years 1 months ago
A Spatio-Temporal Modeling Method for Shape Representation
The spherical harmonic (SPHARM) description is a powerful surface modeling technique that can model arbitrarily shaped but simply connected three dimensional (3D) objects. Because...
Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, J...
192
Voted
ICPR
2004
IEEE
16 years 8 months ago
Tangent Vector Kernels for Invariant Image Classification with SVMs
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
Alexei Pozdnoukhov, Samy Bengio
ICCV
2009
IEEE
15 years 4 months ago
High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion
Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) da...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...