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ICPR
2008
IEEE
13 years 11 months ago
Weightlessness feature - a novel feature for single tri-axial accelerometer based activity recognition
In this paper, a novel weightlessness feature for activity recognition from a tri-axial acceleration signals have been proposed. Since the orientation between accelerometer and us...
Zhenyu He, Zhibin Liu, Lianwen Jin, Li-Xin Zhen, J...
ICPR
2000
IEEE
13 years 9 months ago
Oscillating Search Algorithms for Feature Selection
A new sub-optimal subset search method for feature selection is introduced. As opposed to other till now known subset selection methods the oscillating search is not dependent on ...
Petr Somol, Pavel Pudil
PRL
2007
180views more  PRL 2007»
13 years 4 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
IJIT
2004
13 years 6 months ago
Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a re
A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...
Gert Van Dijck, Marc M. Van Hulle, M. Wevers
CIARP
2008
Springer
13 years 7 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...