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» Consistent Variance Curve Models
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BMCBI
2008
98views more  BMCBI 2008»
13 years 8 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
NIPS
2007
13 years 10 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
CLOR
2006
14 years 5 days ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICS
2001
Tsinghua U.
14 years 27 days ago
Analytical cache models with applications to cache partitioning
An accurate, tractable, analytic cache model for time-shared systems is presented, which estimates the overall cache missrate of a multiprocessing system with any cache size and t...
G. Edward Suh, Srinivas Devadas, Larry Rudolph
IDMS
1997
Springer
153views Multimedia» more  IDMS 1997»
14 years 18 days ago
Embedding Data in 3D Models
The recent popularity of digital media such as CD-ROM and the Internet has prompted exploration of techniques for embedding data, either visibly or invisibly, into text, image, and...
Ryutarou Ohbuchi, Hiroshi Masuda, Masaki Aono