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NIPS
2007
15 years 3 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
120
Voted
PRL
2006
115views more  PRL 2006»
15 years 1 months ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi
96
Voted
TITB
2008
109views more  TITB 2008»
15 years 1 months ago
Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....
103
Voted
TIT
1998
69views more  TIT 1998»
15 years 1 months ago
Relationships Between the Constant Modulus and Wiener Receivers
— The Godard or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the Constant Modulus...
Hanks H. Zeng, Lang Tong, C. Richard Johnson Jr.
TCAD
2002
146views more  TCAD 2002»
15 years 1 months ago
Static scheduling of multidomain circuits for fast functional verification
With the advent of system-on-a-chip design, many application specific integrated circuits (ASICs) now require multiple design clocks that operate asynchronously to each other. This...
Murali Kudlugi, Russell Tessier