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IJCNN
2006
IEEE
14 years 1 months ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor
SI3D
2005
ACM
14 years 1 months ago
Volume catcher
It is difficult to obtain a specific region within unsegmented volume data (region of interest, ROI). The user must first segment the volume, a task which itself involves signi...
Shigeru Owada, Frank Nielsen, Takeo Igarashi
ECCV
2010
Springer
14 years 1 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
SI3D
2010
ACM
14 years 1 months ago
LEAN mapping
We introduce Linear Efficient Antialiased Normal (LEAN) Mapping, a method for real-time filtering of specular highlights in bump and normal maps. The method evaluates bumps as p...
Marc Olano, Dan Baker