4591 search results - page 567 / 919 » Learning from Dyadic Data |
151
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ICIP
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
172
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DAGM
2004
Springer
16 years 2 days ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
195
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COOPIS
1998
IEEE
15 years 11 months ago
1998
IEEE
This paper reports on a practical implementation of a context mediator for the fixed income securities industry. We describe industry circumstances and the data and calculation se...
164
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AAAI
2008
15 years 9 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
182
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JMLR
2006
15 years 6 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...