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» Structure from Motion Causally Integrated Over Time
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NIPS
2004
14 years 11 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
TOMACS
2002
110views more  TOMACS 2002»
14 years 9 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
IJSEKE
1998
141views more  IJSEKE 1998»
14 years 9 months ago
REINAS: A Real-Time System for Managing Environmental Data
Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysi...
Eric C. Rosen, Theodore R. Haining, Darrell D. E. ...
ICIP
2007
IEEE
15 years 11 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
EMMCVPR
2005
Springer
15 years 3 months ago
Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers
Abstract. We propose a model of the shape, motion and appearance of a sequence of images that captures occlusions, scene deformations, arbitrary viewpoint variations and changes in...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...