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» Data Mining via Support Vector Machines
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ICFCA
2009
Springer
14 years 7 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...
IJRR
2010
173views more  IJRR 2010»
14 years 4 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
TNN
2010
185views Management» more  TNN 2010»
14 years 4 months ago
An adaptive multiobjective approach to evolving ART architectures
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
ICASSP
2011
IEEE
14 years 1 months ago
Structural MAP adaptation in GMM-supervector based speaker recognition
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
Marc Ferras, Koichi Shinoda, Sadaoki Furui
TIFS
2010
103views more  TIFS 2010»
14 years 8 months ago
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
In multimodal biometric information fusion, it is common to encounter missing modalities in which matching cannot be performed. As a result, at the match score level, this implies...
Norman Poh, David Windridge, Vadim Mottl, Alexande...