Sciweavers

5409 search results - page 136 / 1082
» Basic Observables for Processes
Sort
View
NIPS
2000
15 years 2 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
ICIP
2005
IEEE
16 years 2 months ago
Fast 2D model-to-image registration using vanishing points for sports video analysis
This article focuses on the field-to-image registration for TV sports-related image processing through basic geometrical reasoning. We propose a robust automatic line-based method...
Jean-Bernard Hayet, Justus H. Piater, Jacques G. V...
80
Voted
ICIP
2009
IEEE
16 years 1 months ago
Edge-preserving Nonlinear Iterative Image Resampling Method
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...
IJCAI
2001
15 years 2 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
16 years 1 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...