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ECCV
2006
Springer
16 years 8 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann
ICML
2004
IEEE
16 years 7 months ago
Convergence of synchronous reinforcement learning with linear function approximation
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
Artur Merke, Ralf Schoknecht
DCC
2006
IEEE
16 years 6 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
CVPR
2010
IEEE
16 years 2 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
ICIW
2009
IEEE
16 years 1 months ago
Enhancing IMS LD Units of Learning Comprehension
IMS Learning Design (IMS LD) is a powerful and expressive educational modeling language, which is becoming a “de facto” encoding and interchange standard for activity-based co...
Iván Martínez-Ortiz, José Lui...