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» Learning in Computer Vision: Some Thoughts
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IJCNN
2008
IEEE
14 years 1 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
EMMCVPR
2005
Springer
14 years 28 days ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
13 years 11 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
ICCD
1997
IEEE
254views Hardware» more  ICCD 1997»
13 years 11 months ago
Intelligent RAM (IRAM): The Industrial Setting, Applications and Architectures
The goal of Intelligent RAM (IRAM) is to design a cost-effective computer by designing a processor in a memory fabrication process, instead of in a conventional logic fabrication ...
David A. Patterson, Krste Asanovic, Aaron B. Brown...
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Distributed Multi-Target Tracking In A Self-Configuring Camera Network
This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt-zoom cameras. We focus on applications where events unfold over...
Amit K. Roy Chowdhury, Bi Song, Cristian Soto