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» Stochastic complexity in learning
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IWCM
2004
Springer
15 years 3 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
76
Voted
FOCS
2009
IEEE
15 years 5 months ago
A Complete Characterization of Statistical Query Learning with Applications to Evolvability
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
Vitaly Feldman
83
Voted
MTSR
2007
Springer
15 years 4 months ago
Metadata for describing learning scenarios under the European Higher Education Area paradigm
In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European Higher Education Area paradigm, using competences and ...
Ana-Elena Guerrero, Julià Minguillón...
77
Voted
ESANN
2003
14 years 11 months ago
Developmental pruning of synapses and category learning
After an initial peak, the number of synapses in mammalian cerebral cortex decreases in the formative period and throughout adult life. However, if synapses are taken to reflect ci...
Roberto Viviani, Manfred Spitzer
ECCV
2002
Springer
16 years 2 days ago
A Probabilistic Theory of Occupancy and Emptiness
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...