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ICIP
2001
IEEE
16 years 4 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity...
Amâncio Santos, António Dourado, Bern...
VLSID
2007
IEEE
160views VLSI» more  VLSID 2007»
16 years 2 months ago
Spectral RTL Test Generation for Microprocessors
We introduce a novel method of test generation for microprocessors at the RTL using spectral methods. Test vectors are generated for RTL faults, which are the stuck-at faults on i...
Nitin Yogi, Vishwani D. Agrawal
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 8 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...
ICCV
2003
IEEE
16 years 4 months ago
Spectral Partitioning for Structure from Motion
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Drew Steedly, Irfan A. Essa, Frank Dellaert
173
Voted
AAAI
2011
14 years 2 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon