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» Objective reduction using a feature selection technique
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CVPR
2010
IEEE
14 years 5 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
CVPR
1996
IEEE
14 years 1 months ago
Connectionist networks for feature indexing and object recognition
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
Clark F. Olson
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 10 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
SEBD
2008
169views Database» more  SEBD 2008»
13 years 10 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
HAPTICS
2009
IEEE
14 years 1 months ago
Computationally efficient techniques for data-driven haptic rendering
Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possib...
Raphael Höver, Massimiliano Di Luca, Gá...