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ICASSP
2011
IEEE
14 years 7 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
ICIP
2005
IEEE
16 years 5 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
ICCV
2005
IEEE
15 years 9 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
118
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HICSS
2002
IEEE
71views Biometrics» more  HICSS 2002»
15 years 9 months ago
Groupware Technology for Cooperative Learning via the Internet
 To take advantage of the numerous new resources for teaching/learning provided by the Internet, teachers should understand technologies that normally are not part of their fiel...
Hugo Fuks, Marco Aurélio Gerosa, Carlos Jos...
EMNLP
2008
15 years 5 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen