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TNN
2008
132views more  TNN 2008»
15 years 6 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
ICASSP
2010
IEEE
15 years 5 months ago
CBCD based on color features and landmark MDS-assisted distance estimation
Content-Based Copy Detection (CBCD) of digital videos is an important research field that aims at the identification of modified copies of an original clip, e.g., on the Intern...
Marzia Corvaglia, Fabrizio Guerrini, Riccardo Leon...
PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
MODELS
2010
Springer
15 years 5 months ago
Concern-Based (de)composition of Model-Driven Software Development Processes
An MDSD process is often organised as transformation chain. This can threaten the Separation of Concerns (SoC) principle, because information is replicated in, scattered over, and ...
Jendrik Johannes, Uwe Aßmann
SSPR
2010
Springer
15 years 5 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain