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IJNCR
2010
59views more  IJNCR 2010»
15 years 2 months ago
Cognitively Inspired Neural Network for Recognition of Situations
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
Roman Ilin, Leonid I. Perlovsky
143
Voted
CAD
2004
Springer
15 years 4 months ago
Feature-based design for heterogeneous objects
Heterogeneous objects are objects composed of different constituent materials. In these objects, multiple desirable properties from different constituent materials can be synthesi...
Xiaoping Qian, Debasish Dutta
MODELS
2007
Springer
15 years 11 months ago
MATA: A Tool for Aspect-Oriented Modeling Based on Graph Transformation
This paper describes MATA (Modeling Aspects Using a Transformation Approach), a UML aspect-oriented modeling tool that uses graph transformations to specify and compose aspects. Gr...
Jon Whittle, Praveen K. Jayaraman
145
Voted
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
167
Voted
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