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» Learning Generative Models via Discriminative Approaches
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109
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SPEECH
1998
118views more  SPEECH 1998»
15 years 13 days ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
CP
2003
Springer
15 years 6 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
143
Voted
TOG
2012
255views Communications» more  TOG 2012»
13 years 3 months ago
A probabilistic model for component-based shape synthesis
We present an approach to synthesizing shapes from complex domains, by identifying new plausible combinations of components from existing shapes. Our primary contribution is a new...
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphn...
108
Voted
CIKM
2010
Springer
14 years 11 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
118
Voted
ICMLC
2005
Springer
15 years 6 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun