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TSP
2008
103views more  TSP 2008»
13 years 9 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
IJCAI
2003
13 years 10 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
TIT
2008
72views more  TIT 2008»
13 years 9 months ago
On the Construction of (Explicit) Khodak's Code and Its Analysis
Variable-to-variable codes are very attractive yet not well understood data compression schemes. In 1972 Khodak claimed to provide upper and lower bounds for the achievable redund...
Yann Bugeaud, Michael Drmota, Wojciech Szpankowski
ENTCS
2006
109views more  ENTCS 2006»
13 years 9 months ago
Incremental Verification for On-the-Fly Controller Synthesis
The CIRCA system automatically synthesizes hard real-time discrete event controllers from plant and environment descriptions. CIRCA's automatically-synthesized controllers pr...
David J. Musliner, Michael J. S. Pelican, Robert P...
IDEAL
2004
Springer
14 years 2 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris