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ICPR
2008
IEEE
15 years 9 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
ICASSP
2011
IEEE
14 years 6 months ago
Beyond bag of words: Combining generative and discriminative models for natural scene categorization
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
Zhen Li, Kim-Hui Yap, Xiao-Ming Chen
CMMR
2004
Springer
118views Music» more  CMMR 2004»
15 years 8 months ago
Methods for Combining Statistical Models of Music
Abstract. The paper concerns the use of multiple viewpoint representation schemes for prediction with statistical models of monophonic music. We present an experimental comparison ...
Marcus Pearce, Darrell Conklin, Geraint A. Wiggins
ENTCS
2007
80views more  ENTCS 2007»
15 years 3 months ago
Combining Product Lines and Model-Based Development
Using model-based development has shown to increase efficiency and effectiveness of software production. However, with software as an integral part of products with customized fu...
Bernhard Schätz
COGCOM
2010
107views more  COGCOM 2010»
15 years 15 days ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...