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AAAI
2008
13 years 9 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
14 years 13 days ago
Comparing Genetic Programming and Evolution Strategies on Inferring Gene Regulatory Networks
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algo...
Felix Streichert, Hannes Planatscher, Christian Sp...
EVOW
2007
Springer
14 years 1 months ago
Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges
Abstract. The Traveling Salesman Problem (TSP) is a well-known NPhard combinatorial optimization problem, for which a large variety of evolutionary algorithms are known. However, t...
Thomas Fischer, Peter Merz
ICPR
2010
IEEE
13 years 11 months ago
Finding Multiple Object Instances with Occlusion
In this paper we provide a framework of detection and localization of multiple similar shapes or object instances from an image based on shape matching. There are three challenges...
Ge Guo, Tingting Jiang, Yizhou Wang, Wen Gao
IEICET
2006
55views more  IEICET 2006»
13 years 7 months ago
Inserting Points Uniformly at Every Instance
A problem of arranging n points as uniformly as possible, which is equivalent to that of packing n equal and non-overlapping circles in a unit square, is frequently asked. In this ...
Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjam...