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77
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ICPR
2006
IEEE
16 years 1 months ago
Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression
Linear feature detection is a very important issue in the areas of image analysis, computer vision, and pattern recognition. It has found applications in many diverse areas such a...
Changming Sun, Pascal Vallotton
96
Voted
EUSFLAT
2007
152views Fuzzy Logic» more  EUSFLAT 2007»
15 years 1 months ago
Object Oriented Approach in Fuzzy Arithmetic Using Parametric Representation of Fuzzy Numbers
Parametric representation of fuzzy numbers (PFN) with derived methods for performing fuzzy arithmetic proves to have better accuracy and similar computational speed to using trian...
Frantisek Hunka
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
14 years 11 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
CVPR
2005
IEEE
16 years 2 months ago
Learning Feature Distance Measures for Image Correspondences
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
Xi Chen, Tat-Jen Cham
100
Voted
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
15 years 7 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani