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» Cosparse analysis modeling - uniqueness and algorithms
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ICML
2009
IEEE
16 years 5 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
124
Voted
ICIP
2002
IEEE
16 years 5 months ago
Multiresolution moment filters
We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relatio...
Michael Sühling, Michael Unser, Muthuvel Arig...
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 4 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
ICDAR
2009
IEEE
15 years 11 months ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
CMMR
2003
Springer
101views Music» more  CMMR 2003»
15 years 9 months ago
Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria
In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piec...
Benoit Meudic, Emmanuel Staint-James