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» Understanding Mechanical Motion: From Images to Behaviors
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EMMCVPR
2005
Springer
14 years 3 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
NECO
2010
154views more  NECO 2010»
13 years 8 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
SSIAI
2002
IEEE
14 years 3 months ago
Active Contours for Cell Tracking
This paper introduces an active contour or snakebased method for tracking cells within a video sequence. Specifically, we apply our cell tracking techniques to rolling leukocytes ...
Nilanjan Ray, Scott T. Acton
CVPR
2009
IEEE
15 years 2 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
IPPS
2007
IEEE
14 years 4 months ago
An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis
— Frequent failure occurrences are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in ...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...