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ICDAR
2005
IEEE
14 years 2 months ago
Learning Diagram Parts with Hidden Random Fields
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
Martin Szummer
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
13 years 11 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
TIT
2008
106views more  TIT 2008»
13 years 9 months ago
Byzantine Modification Detection in Multicast Networks With Random Network Coding
This paper gives an information theoretic approach for detecting Byzantine modifications in networks employing random linear network coding. Each exogenous source packet is augmen...
Tracey Ho, Ben Leong, Ralf Koetter, Muriel M&eacut...
TIT
2002
142views more  TIT 2002»
13 years 8 months ago
A random matrix model of communication via antenna arrays
Abstract--A random matrix model is introduced that probabilistically describes the spatial and temporal multipath propagation between a transmitting and receiving antenna array wit...
Ralf R. Müller
CVPR
2005
IEEE
14 years 11 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002