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» A Support Vector Clustering Method
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104
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ALT
2008
Springer
16 years 13 days ago
Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...
Andreas Maurer, Massimiliano Pontil
120
Voted
ECAI
2000
Springer
15 years 7 months ago
Designing Clustering Methods for Ontology Building - The Mo'K Workbench
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
Gilles Bisson, Claire Nedellec, Dolores Cañ...
144
Voted
ECCV
2010
Springer
15 years 4 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
185
Voted
GBRPR
2007
Springer
15 years 7 months ago
An Efficient Ontology-Based Expert Peering System
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...
Tansu Alpcan, Christian Bauckhage, Sachin Agarwal
111
Voted
COLT
2008
Springer
15 years 5 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov