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CORR
2004
Springer
133views Education» more  CORR 2004»
14 years 11 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»
14 years 6 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
16 years 1 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
16 years 16 days 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
15 years 1 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