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» Learning Probabilistic Models of Contours
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NIPS
2004
14 years 11 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
ICCV
2003
IEEE
15 years 11 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
ACL
2003
14 years 11 months ago
Probabilistic Text Structuring: Experiments with Sentence Ordering
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
Mirella Lapata
NLPRS
2001
Springer
15 years 2 months ago
GLR Parser with Conditional Action Model(CAM)
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
Yong-Jae Kwak, Young-Sook Hwang, Hoo-Jung Chung, S...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
15 years 10 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...