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» A computational approach to negative priming
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ICCV
2005
IEEE
15 years 11 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
ICCSA
2004
Springer
15 years 3 months ago
Exception Rules Mining Based on Negative Association Rules
Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. In...
Olena Daly, David Taniar
GI
2007
Springer
15 years 3 months ago
Data Fusion Considering 'Negative' Information for Cooperative Vehicles
: Negative information provides important additional knowledge that is not exploited for sensor data fusion tasks by default. This paper presents a new approach to incorporate such...
Karin Tischler, Heike S. Vogt
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 1 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
CSE
2008
IEEE
14 years 11 months ago
ACN: An Associative Classifier with Negative Rules
Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on pos...
Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md...