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» A New Class Based Associative Classification Algorithm
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ICML
1994
IEEE
15 years 6 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
CEC
2010
IEEE
15 years 3 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
MICCAI
2007
Springer
16 years 3 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
ASM
2003
ASM
15 years 8 months ago
A Framework for Proving Contract-Equipped Classes
r in: Abstract State Machines 2003 — Advances in Theory and Applications, Proc. 10th International Workshop, Taormina, Italy, March 3-7, 2003, eds. Egon Boerger, Angelo Gargantin...
Bertrand Meyer
TMM
2010
135views Management» more  TMM 2010»
14 years 9 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...