Sciweavers

5046 search results - page 89 / 1010
» Feature Selection from Huge Feature Sets
Sort
View
COGSCI
2010
107views more  COGSCI 2010»
15 years 6 months ago
Feature Selection for Inductive Generalization
Judging similarities among objects, events, and experiences is one of the most basic cognitive abilities, allowing us to make predictions and generalizations. The main assumption ...
Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-...
CVPR
2012
IEEE
13 years 8 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
ICARCV
2002
IEEE
109views Robotics» more  ICARCV 2002»
15 years 11 months ago
Quantized wavelet features and support vector machines for on-road vehicle detection
The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Zehang Sun, George Bebis, Ronald Miller
ICPR
2006
IEEE
16 years 7 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
ICIAP
2005
ACM
16 years 6 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...