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» A hierarchical model of data locality
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NIPS
2001
14 years 11 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
99
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PATMOS
2000
Springer
15 years 1 months ago
Data-Reuse and Parallel Embedded Architectures for Low-Power, Real-Time Multimedia Applications
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
SCIA
2007
Springer
182views Image Analysis» more  SCIA 2007»
15 years 4 months ago
The Statistical Properties of Local Log-Contrast in Natural Images
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...
CGF
2006
83views more  CGF 2006»
14 years 10 months ago
Seamless Integration of Initial Sketching and Subsequent Detail Editing in Flower Modeling
We present an interactive modeling system for flower composition that supports seamless transformation from an initial sketch to a detailed three-dimensional (3D) model. To begin,...
Takashi Ijiri, Shigeru Owada, Takeo Igarashi
JMLR
2007
137views more  JMLR 2007»
14 years 10 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...