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» FIND - A unified framework for neural data analysis
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TKDE
2008
125views more  TKDE 2008»
13 years 8 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
CVPR
1997
IEEE
14 years 3 days ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman
BIOSYSTEMS
2008
83views more  BIOSYSTEMS 2008»
13 years 8 months ago
Hydrophobic condensation and modular assembly model of protein folding
Despite several decades of intense study, protein folding problem remains elusive. In this paper, we review current knowledge and the prevailing thinking in the field, and summari...
Tian-Yow Tsong, Chin-Kun Hu, Ming-Chya Wu
CVPR
2007
IEEE
14 years 10 months ago
On Constant Focal Length Self-Calibration From Multiple Views
We investigate the problem of finding the metric structure of a general 3D scene viewed by a moving camera with square pixels and constant unknown focal length. While the problem ...
Adrien Bartoli, Alain Crouzil, Benoît Bocqui...
JSAC
2006
102views more  JSAC 2006»
13 years 8 months ago
A deterministic frequency-domain model for the indoor power line transfer function
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
S. Galli, Thomas C. Banwell