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» Comparing Approaches to Implement Feature Model Composition
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PR
2010
147views more  PR 2010»
14 years 8 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
ICIP
2003
IEEE
15 years 3 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
ACL
2006
14 years 11 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
ECOOPW
1998
Springer
15 years 2 months ago
Agent Roles and Aspects
Agent systems are highly distributed and feature widespread coordination and collaboration. Because of these characteristics, a traditional object oriented approach to software de...
Elizabeth A. Kendall
BIOCOMP
2007
14 years 11 months ago
Interaction Models for Biochemical Reactions
Abstract—This paper presents a stochastic modelling framework for complex biochemical reaction networks from a component-based perspective. Our approach takes into account the di...
Mila E. Majster-Cederbaum, Nils Semmelrock, Verena...