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CVPR
2006
IEEE
16 years 5 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
138
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ICIP
2004
IEEE
16 years 5 months ago
Learning structured dictionaries for image representation
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...
Gianluca Monaci, Pierre Vandergheynst
UML
2005
Springer
15 years 9 months ago
Lessons Learned from Developing a Dynamic OCL Constraint Enforcement Tool for Java
Analysis and design by contract allows the definition of a formal agreement between a class and its clients, expressing each party’s rights and obligations. Contracts written in ...
Wojciech J. Dzidek, Lionel C. Briand, Yvan Labiche
116
Voted
IRI
2003
IEEE
15 years 9 months ago
Generalizing Interface Design Knowledge: Lessons Learned from Developing a Claims Library
The experience of preparing interface design knowledge to be reusable allows reflection on the process, potential, and general challenges of effectively and efficiently using this...
Catherine Payne, C. F. Allgood, Christa M. Chewar,...