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AAAI
2011
12 years 7 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
MICCAI
2009
Springer
14 years 9 months ago
Correcting Motion Artifacts in Retinal Spectral Domain Optical Coherence Tomography via Image Registration
Spectral domain optical coherence tomography (SD-OCT) is an important tool for the diagnosis of various retinal diseases. The measurements available from SD-OCT volumes can be used...
Susanna Ricco, Mei Chen, Hiroshi Ishikawa 0002, Ga...
MM
2003
ACM
124views Multimedia» more  MM 2003»
14 years 29 days ago
Using structure patterns of temporal and spectral feature in audio similarity measure
Although statistical characteristics of audio features are widely used for similarity measure in most of current audio analysis systems and have been proved to be effective, they ...
Rui Cai, Lie Lu, HongJiang Zhang
ASPDAC
1999
ACM
132views Hardware» more  ASPDAC 1999»
14 years 1 days ago
Faster and Better Spectral Algorithms for Multi-Way Partitioning
In this paper, two faster and better spectral algorithms are presented for the multi-way circuit partitioning problem with the objective of minimizing the Scaled Cost. As pointed ...
Jan-Yang Chang, Yu-Chen Liu, Ting-Chi Wang
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang