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» Classification of Ordinal Data
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ICML
2005
IEEE
16 years 4 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
SIGMOD
2006
ACM
129views Database» more  SIGMOD 2006»
16 years 3 months ago
InMAF: indexing music databases via multiple acoustic features
Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach ...
Jialie Shen, John Shepherd, Anne H. H. Ngu
123
Voted
CIMCA
2005
IEEE
15 years 9 months ago
Independent Nearest Features Memory-Based Classifier
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
Christos Pateritsas, Andreas Stafylopatis
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 8 months ago
Structural and Semantic Analysis of Video
In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...
Shih-Fu Chang, Hari Sundaram
129
Voted
SSPR
2000
Springer
15 years 7 months ago
Selection of Classifiers Based on Multiple Classifier Behaviour
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera