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» Regularization and feature selection for networked features
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158
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MIAR
2006
IEEE
15 years 9 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
ICIP
2002
IEEE
16 years 5 months ago
Efficient selection of image patches with high motion confidence
Motion confidence measures aim to identify how well an image patch determines image motion. These kinds of confidence measures are commonly used to select points for optical flow ...
Peter Sand, Leonard McMillan
115
Voted
ICML
2007
IEEE
16 years 4 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
ICPR
2010
IEEE
15 years 3 months ago
Concensus of Self-features for Nonverbal Behavior Analysis
Abstract. One of the key challenge in social behavior analysis is to automatically discover the subset of features relevant to a specific social signal (e.g., backchannel feedback...
Derya Ozkan, Louis-Philippe Morency
134
Voted
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
15 years 9 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes