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ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
ECBS
2006
IEEE
203views Hardware» more  ECBS 2006»
15 years 3 months ago
The Feature-Architecture Mapping (FArM) Method for Feature-Oriented Development of Software Product Lines
Software product lines (PLs) are large, complex systems, demanding high maintainability and enhanced flexibility. Nonetheless, in the state of the art PL methods, features are sca...
Periklis Sochos, Matthias Riebisch, Ilka Philippow
ESANN
2006
15 years 23 days ago
On the selection of hidden neurons with heuristic search strategies for approximation
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
Ignacio Barrio, Enrique Romero, Lluís A. Be...
DELOS
2000
15 years 22 days ago
Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval
Similarity search in image database is commonly implemented as nearest-neighbor search in a feature space of the images. For that purpose, a large number of different features as ...
Martin Heczko, Daniel A. Keim, Roger Weber
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 1 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman