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SAC
2005
ACM
14 years 3 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
DEXA
1998
Springer
112views Database» more  DEXA 1998»
14 years 2 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
IPMI
2003
Springer
14 years 3 months ago
Tunnelling Descent: A New Algorithm for Active Contour Segmentation of Ultrasound Images
The presence of speckle in ultrasound images makes it hard to segment them using active contours. Speckle causes the energy function of the active contours to have many local minim...
Zhong Tao, C. Carl Jaffe, Hemant Tagare
AUSAI
2004
Springer
14 years 3 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
ICIP
2005
IEEE
14 years 11 months ago
Multiple active contour models based on the EM algorithm
This paper describes an algorithm for the extraction of multiple regions using multiple active contour models (ACMs). The algorithm organizes edge points into strokes and assigns ...
Margarida Silveira, Jorge S. Marques