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» Efficient Learning of Relational Object Class Models
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98
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ECCV
2010
Springer
15 years 2 months ago
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
In order for recognition systems to scale to a larger number of object categories building visual class taxonomies is important to achieve running times logarithmic in the number o...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 13 days ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
101
Voted
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 1 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
PGLDB
2003
166views Database» more  PGLDB 2003»
15 years 1 months ago
ROSA: A Data Model and Query Language for e-Learning Objects
Learning Content Management Systems (LCMS) supports e-learning applications with storage and efficient access for e-learning objects (LO)s. ROSA is a LCMS built as a semantic laye...
Fabio Porto, Ana Maria de Carvalho Moura, Adriana ...
84
Voted
ML
2006
ACM
15 years 13 days ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer