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» Regularization and feature selection for networked features
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PAMI
2008
135views more  PAMI 2008»
15 years 3 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
151
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
162
Voted
CVPR
2007
IEEE
16 years 5 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
SIGADA
2005
Springer
15 years 9 months ago
The implementation of ada 2005 synchronized interfaces in the GNAT compiler
One of the most important object-oriented features of the new revision of the Ada Programming Language is the introof Abstract Interfaces to provide a form of multiple nce. Ada 20...
Javier Miranda, Edmond Schonberg, Hristian Kirtche...
112
Voted
PRL
2006
87views more  PRL 2006»
15 years 3 months ago
Supervised feature-based classification of multi-channel SAR images
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
Dirk Borghys, Yann Yvinec, Christiaan Perneel, Ale...