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NIPS
2004
15 years 7 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
JCT
2010
77views more  JCT 2010»
15 years 4 months ago
Obtainable sizes of topologies on finite sets
We study the smallest possible number of points in a topological space having k open sets. Equivalently, this is the smallest possible number of elements in a poset having k order ...
Kári Ragnarsson, Bridget Eileen Tenner
RAS
2010
127views more  RAS 2010»
15 years 4 months ago
Maximum-likelihood sample-based maps for mobile robots
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...
Daniel Meyer-Delius, Wolfram Burgard
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
On the Convergence Properties of Contrastive Divergence
Contrastive Divergence (CD) is a popular method for estimating the parameters of Markov Random Fields (MRFs) by rapidly approximating an intractable term in the gradient of the lo...
Ilya Sutskever, Tijmen Tieleman
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
14 years 10 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik