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CJ
1999
95views more  CJ 1999»
15 years 6 months ago
Two Kinds of Probabilistic Induction
Problems in probabilistic induction are of two general kinds. In the first, we have a linearly ordered sequence of symbols that must be extrapolated. In the second we want to extr...
Ray J. Solomonoff
ICCV
2001
IEEE
16 years 8 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
180
Voted
ISBI
2004
IEEE
16 years 7 months ago
Subspace Models for Functional MRI Data Analysis
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
Ola Friman
ISBI
2006
IEEE
16 years 7 months ago
An algebraic solution to rigid registration of diffusion tensor images
We present an algebraic solution to direct registration of diffusion tensor images under various local deformation models. We show how to linearly recover the deformation from the...
Alvina Goh, René Vidal
CDC
2008
IEEE
228views Control Systems» more  CDC 2008»
16 years 1 months ago
Stability analysis for neural networks with time-varying delay
— This paper studies the problem of stability analysis for neural networks (NNs) with a time-varying delay. The activation functions are assumed to be neither monotonic, nor diff...
Xun-Lin Zhu, Guang-Hong Yang