298 search results - page 55 / 60 » Analysis of a Fusion Method for Combining Marginal Classifie... |
118
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
104
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SSPR
2004
Springer
15 years 5 months ago
2004
Springer
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
IDEAL
2000
Springer
15 years 3 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
117
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CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
133
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TRECVID
2007
15 years 27 days ago
2007
In this paper we describe our TRECVID 2007 experiments. The MediaMill team participated in two tasks: concept detection and search. For concept detection we extract regionbased im...