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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 11 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
TIP
2008
125views more  TIP 2008»
15 years 4 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
BC
2000
86views more  BC 2000»
15 years 4 months ago
Self-organizing maps for visual feature representation based on natural binocular stimuli
We model the stimulus-induced development of the topography of the primary visual cortex. The analysis uses a self-organizing Kohonen model based on high-dimensional coding. It all...
Jan C. Wiemer, Thomas Burwick, Werner von Seelen
ICSR
2004
Springer
15 years 10 months ago
Feature Dependency Analysis for Product Line Component Design
Analyzing commonalities and variabilities among products of a product line is an essential activity for product line asset development. A feature-oriented approach to commonality a...
Kwanwoo Lee, Kyo Chul Kang
KBS
2008
98views more  KBS 2008»
15 years 3 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu