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ICIP
2000
IEEE
14 years 11 months ago
Optimal Design of Transform Coders and Quantizers for Image Classification
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
Soumya Jana, Pierre Moulin
ICIP
1997
IEEE
14 years 11 months ago
A New Approach for Restoring Block-Transform Coded Images with Estimation of Correlation Matrices
This paper presents a new restoration approach to reduce coding artifacts in block-transform image coding. Di erent from conventional restoration techniques, the proposed one is n...
Steven Sheung-On Choy, Yuk-Hee Chan, Wan-Chi Siu
ICIP
1997
IEEE
14 years 11 months ago
Super-Resolution with Adaptive Regularization
Multi-channel super-resolution is a means of recovering high frequency information by trading off the temporal bandwidth. Almost all the methods proposed in the literature are bas...
Anne Lorette, Hassan Shekarforoush, Josiane Zerubi...
ICML
2009
IEEE
14 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
ICML
2009
IEEE
14 years 10 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....