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ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 9 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
120
Voted
WSC
2007
15 years 6 months ago
Real-time prediction in a stochastic domain via similarity-based data-mining
This paper introduces an application and a methodology to predict future states of a process under real-time requirements. The real-time functionality is achieved by creating a Ba...
Timo Steffens, Philipp Hügelmeyer
123
Voted
ESANN
2007
15 years 5 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
130
Voted
NIPS
2000
15 years 5 months ago
Automatic Choice of Dimensionality for PCA
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
Thomas P. Minka
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
15 years 5 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen