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» Sparse Representation for Gaussian Process Models
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NIPS
2004
13 years 9 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...
FSKD
2011
Springer
313views Fuzzy Logic» more  FSKD 2011»
12 years 7 months ago
Robust initialization for reasoning procedures in a hierarchical heterogeneous knowledge-base
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Slobodan Ribaric, Darijan Marcetic, Zongmin Ma
CVPR
2010
IEEE
14 years 3 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
ICIP
2005
IEEE
14 years 1 months ago
Two-step variance-adaptive image denoising
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
Lahouari Ghouti, Ahmed Bouridane
CIS
2005
Springer
14 years 1 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li