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» Temporal Data Classification Using Linear Classifiers
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ICIP
2007
IEEE
13 years 11 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
ESWS
2008
Springer
13 years 9 months ago
Query Answering and Ontology Population: An Inductive Approach
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
PAMI
2010
170views more  PAMI 2010»
13 years 6 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva
CNSM
2010
13 years 5 months ago
An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
Riyad Alshammari, A. Nur Zincir-Heywood
BMCBI
2007
116views more  BMCBI 2007»
13 years 7 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...