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» Change of Representation for Statistical Relational Learning
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
AAAI
2004
13 years 9 months ago
Learning Indexing Patterns from One Language for the Benefit of Others
Using language technology for text analysis and light-weight ontologies as a content-mediating level, we acquire indexing patterns from vast amounts of indexing data for Englishla...
Udo Hahn, Kornél G. Markó, Stefan Sc...
VLDB
2005
ACM
139views Database» more  VLDB 2005»
14 years 1 months ago
Statistical Learning Techniques for Costing XML Queries
Developing cost models for query optimization is significantly harder for XML queries than for traditional relational queries. The reason is that XML query operators are much mor...
Ning Zhang 0002, Peter J. Haas, Vanja Josifovski, ...
CVPR
2010
IEEE
13 years 7 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
NAACL
2007
13 years 9 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai