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CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 9 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 4 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
ICIP
2004
IEEE
14 years 11 months ago
A hybrid wavelet framework for modeling vbr video traffic
Traffic models play an important role in network simulation and performance analysis. This paper presents a frame-level hybrid framework for modeling variable bitrate (VBR) video ...
Min Dai, Dmitri Loguinov, Hayder Radha
ISBI
2006
IEEE
14 years 10 months ago
A statistical framework for DTI segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI can be estimated from a set of diffusion weighted images and...
Christophe Lenglet, Mikaël Rousson, Rachid De...
NIPS
2000
13 years 11 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton