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CSR
2006
Springer
14 years 2 months ago
Constructive Equivalence Relations on Computable Probability Measures
A central object of study in the field of algorithmic randomness are notions of randomness for sequences, i.e., infinite sequences of zeros and ones. These notions are usually def...
Laurent Bienvenu
EACL
2006
ACL Anthology
13 years 11 months ago
A Figure of Merit for the Evaluation of Web-Corpus Randomness
In this paper, we present an automated, quantitative, knowledge-poor method to evaluate the randomness of a collection of documents (corpus), with respect to a number of biased pa...
Massimiliano Ciaramita, Marco Baroni
CVPR
2005
IEEE
15 years 12 days ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
13 years 2 months ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...
TIP
2008
126views more  TIP 2008»
13 years 10 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld