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» Composite feature modeling and retrieval
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ICASSP
2007
IEEE
14 years 2 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
14 years 1 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
ICIP
1998
IEEE
14 years 9 months ago
Semantic Visual Templates: Linking Visual Features to Semantics
The rapid growth of visual data over the last few years has lead to many schemes for retrieving such data. With content-based systems today, there exists a significant gap between...
Shih-Fu Chang, William Chen, Hari Sundaram
ECMDAFA
2010
Springer
141views Hardware» more  ECMDAFA 2010»
13 years 11 months ago
Comparing Approaches to Implement Feature Model Composition
Abstract. The use of Feature Models (FMs) to define the valid combinations of features in Software Product Lines (SPL) is becoming commonplace. To enhance the scalability of FMs, ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
SOCO
2010
Springer
13 years 5 months ago
Managing Variability in Workflow with Feature Model Composition Operators
Abstract. In grid-based scientific applications, building a workflow essentially involves composing parameterized services describing families of services and then configuring the ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...