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» On the gaussian distribution of strings
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ICCV
2011
IEEE
14 years 6 months ago
Sparse Dictionary-based Representation and Recognition of Action Attributes
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
Qiang Qiu, Zhuolin Jiang, Rama Chellappa
APPROX
2007
Springer
77views Algorithms» more  APPROX 2007»
16 years 11 days ago
High Entropy Random Selection Protocols
We study the two party problem of randomly selecting a string among all the strings of length n. We want the protocol to have the property that the output distribution has high en...
Harry Buhrman, Matthias Christandl, Michal Kouck&y...
ICML
2005
IEEE
16 years 7 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
UAI
2008
15 years 7 months ago
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
JCNS
1998
134views more  JCNS 1998»
15 years 5 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez