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» Sparse representation of images with hybrid linear models
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AAAI
2006
15 years 1 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
HAPTICS
2005
IEEE
15 years 5 months ago
The Maxima Haptics Package -- A Tool for Symbolic Analysis of Haptics and Teleoperation
The Maxima Haptics Package is a free software package for symbolic analysis of linear models of haptic devices and teleoperators. From a mechanical model of the haptic device, the...
Göran A. V. Christiansson
JMLR
2006
104views more  JMLR 2006»
14 years 11 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
SIP
2003
15 years 1 months ago
Object Structure from Noisy Images
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...
Gabriele Peters
NIPS
2001
15 years 1 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...