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» Model Selection Criteria in Computer Vision: Are They Differ...
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CVPR
2010
IEEE
14 years 6 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
CVPR
2006
IEEE
14 years 11 months ago
Stereo Vision in Structured Environments by Consistent Semi-Global Matching
This paper considers the use of stereo vision in structured environments. Sharp discontinuities and large untextured areas must be anticipated, but complex or natural shapes of ob...
Heiko Hirschmüller
ICPR
2002
IEEE
14 years 11 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
ICPR
2006
IEEE
14 years 11 months ago
An Empirical Model for Saturation and Capacity in Classifier Spaces
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Robert B. Fisher
IFIP
1994
Springer
14 years 1 months ago
The specification of business rules: A comparison of selected methodologies
Business rules are an important element of information systems. The notion business rule encompasses different phenomena; therefore, some classification criteria are presented and...
Holger Herbst, Gerhard Knolmayer, Thomas Myrach, M...