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» A Support Vector Clustering Method
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121
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ICPR
2004
IEEE
16 years 4 months ago
Recognition of Airborne Fungi Spores in Digital Microscopic Images
We propose and evaluate a method for the recognition of airborne fungi spores. We suggest a case-based object-recognition method to identify spores in a digital microscopic image. ...
Angela Bühring, Horst Perner, Petra Perner, S...
123
Voted
EDM
2010
152views Data Mining» more  EDM 2010»
15 years 5 months ago
Mining Students' Interaction Data from a System that Support Learning by Reflection
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
Rajibussalim
139
Voted
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 9 months ago
Supporting free-form design using a component based representation: an overview
This paper reviews the development of an interactive evolutionary design system (IEDS) for conceptual design, which integrates an agent based ‘build and evolve’ approach with ...
Azahar T. Machwe, Ian C. Parmee
121
Voted
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 10 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
AAAI
2010
15 years 5 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He