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» Resampling methods for input modeling
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125
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NIPS
2001
15 years 4 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
116
Voted
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Efficient System-Enforced Deterministic Parallelism
Deterministic execution offers many benefits for debugging, fault tolerance, and security. Current methods of executing parallel programs deterministically, however, often incur h...
Amittai Aviram, Shu-Chun Weng, Sen Hu, Bryan Ford
145
Voted
CGF
2010
114views more  CGF 2010»
14 years 10 months ago
Transparent and Specular Object Reconstruction
This state of the art report covers reconstruction methods for transparent and specular objects or phenomena. While the 3D acquisition of opaque surfaces with lambertian reflectan...
Ivo Ihrke, Kiriakos N. Kutulakos, Hendrik P. A. Le...
79
Voted
INTERSPEECH
2010
14 years 10 months ago
HMM-based text-to-articulatory-movement prediction and analysis of critical articulators
In this paper we present a method to predict the movement of a speaker's mouth from text input using hidden Markov models (HMM). We have used a corpus of human articulatory m...
Zhen-Hua Ling, Korin Richmond, Junichi Yamagishi
GEOINFO
2004
15 years 5 months ago
Uncertainty in Digital Elevation Data Used For Geophysical Flow Simulation
: Elevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations....
Laércio Massaru Namikawa, Chris S. Renschle...