528 search results - page 39 / 106 » Causal inference using the algorithmic Markov condition |
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
102
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ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
AAAI
2011
13 years 9 months ago
2011
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
109
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CVIU
2007
14 years 9 months ago
2007
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...