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ECCV
2006
Springer
14 years 10 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICIP
2007
IEEE
14 years 3 months ago
Lossy Compression of Bilevel Images Based on Markov Random Fields
A new method for lossy compression of bilevel images based on Markov random fields (MRFs) is proposed. It preserves key structural information about the image, and then reconstru...
Matthew G. Reyes, Xiaonan Zhao, David L. Neuhoff, ...
PAMI
2008
176views more  PAMI 2008»
13 years 8 months ago
Learning Flexible Features for Conditional Random Fields
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
Liam Stewart, Xuming He, Richard S. Zemel
CIBCB
2007
IEEE
14 years 3 months ago
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
EMNLP
2010
13 years 6 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar