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» Quantizing Density Estimators
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MICCAI
2005
Springer
14 years 8 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
ISDA
2006
IEEE
14 years 1 months ago
New developments of the Z-EDM algorithm
In this paper we address some open questions on the recently proposed Zero-Error Density Maximization algorithm for MLP training. We propose a new version of the cost function tha...
Luís M. Silva, Joaquim Marques de Sá...
CVPR
2005
IEEE
14 years 9 months ago
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
Frank Dellaert, Vivek Kwatra, Sang Min Oh
ACIVS
2005
Springer
14 years 1 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
PAMI
2011
13 years 2 months ago
Product Quantization for Nearest Neighbor Search
— This paper introduces a product quantization based approach for approximate nearest neighbor search. The idea is to decomposes the space into a Cartesian product of low dimensi...
Hervé Jégou, Matthijs Douze, Cordeli...