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» Optimizing Feature Sets for Structured Data
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
ICASSP
2011
IEEE
12 years 11 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
IV
2002
IEEE
126views Visualization» more  IV 2002»
14 years 14 days ago
The Empathic Visualisation Algorithm (EVA) - An Automatic Mapping from Abstract Data to Naturalistic Visual Structure
from Abstract Data to Naturalistic Visual Structure A. Loizides and M.Slater Department of Computer Science, University College London (UCL), London, UK This paper demonstrates a ...
Andreas Loizides, Mel Slater
MMM
2008
Springer
158views Multimedia» more  MMM 2008»
14 years 1 months ago
Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features
Effective similarity search in multi-media time series such as video or audio sequences is important for content-based multi-media retrieval applications. We propose a framework th...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
CG
2008
Springer
13 years 7 months ago
Parallel reflective symmetry transformation for volume data
Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
Yuan Hong, Han-Wei Shen