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123
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ACCV
2006
Springer
15 years 10 months ago
2006
Springer
The need for empirical evaluation metrics and algorithms is well acknowledged in the field of computer vision. The process leads to precise insights to understanding current techn...
144
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ECCV
2010
Springer
15 years 9 months ago
2010
Springer
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
157
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IV
2010
IEEE
15 years 3 months ago
2010
IEEE
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
162
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NIPS
2007
15 years 6 months ago
2007
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
123
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KDD
2002
ACM
16 years 5 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...