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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 3 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
DBPL
2005
Springer
135views Database» more  DBPL 2005»
15 years 3 months ago
Type-Based Optimization for Regular Patterns
Pattern matching mechanisms based on regular expressions feature in a number of recent languages for processing XML. The flexibility of these mechanisms demands novel approaches ...
Michael Y. Levin, Benjamin C. Pierce
ICAPR
2005
Springer
15 years 3 months ago
The RW2 Algorithm for Exact Graph Matching
The RW algorithm has been proposed recently to solve the exact graph matching problem. This algorithm exploits Random Walk theory to compute a topological signature which can be u...
Marco Gori, Marco Maggini, Lorenzo Sarti
ASIAN
2004
Springer
109views Algorithms» more  ASIAN 2004»
15 years 3 months ago
Online Stochastic and Robust Optimization
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Russell Bent, Pascal Van Hentenryck