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97
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ICPR
2006
IEEE
16 years 1 months ago
Line Detection and Texture Characterization of Network Patterns
This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher line...
Costantino Grana, Giovanni Pellacani, Rita Cucchia...
NIPS
1996
15 years 2 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
95
Voted
TMC
2010
108views more  TMC 2010»
14 years 11 months ago
Radio Tomographic Imaging with Wireless Networks
—Radio Tomographic Imaging (RTI) is an emerging technology for imaging passive objects (objects that do not carry a transmitting device) with wireless networks. This paper presen...
Joey Wilson, Neal Patwari
94
Voted
TSP
2010
14 years 7 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
95
Voted
BMCBI
2010
96views more  BMCBI 2010»
15 years 24 days ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta