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» Learning Probabilistic Models of Relational Structure
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AAAI
2006
15 years 3 months ago
Learning Systems of Concepts with an Infinite Relational Model
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...
134
Voted
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Mining Relationship Between Video Concepts using Probabilistic Graphical Models
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
Rong Yan, Ming-yu Chen, Alexander G. Hauptmann
ICML
2010
IEEE
15 years 3 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
132
Voted
ACL
2004
15 years 3 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
130
Voted
ICDAR
2007
IEEE
15 years 8 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...