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CSL
2011
Springer
14 years 5 months ago
The subspace Gaussian mixture model - A structured model for speech recognition
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
NIPS
2007
14 years 11 months ago
Collective Inference on Markov Models for Modeling Bird Migration
We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
BIOADIT
2006
Springer
15 years 1 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner
WSCG
2001
85views more  WSCG 2001»
14 years 11 months ago
The magic of the Z-Buffer: A Survey
The wide availability of hardwired Z-buffer has sparked an explosion in the number of applications of the algorithm whose origins lie in hidden surface elimination. This paper pre...
Theoharis Theoharis, Georgios Papaioannou, Evaggel...
ICML
2004
IEEE
15 years 11 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...