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NIPS
2000
15 years 1 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
179
Voted
ICDE
1998
IEEE
83views Database» more  ICDE 1998»
16 years 1 months ago
Grouping Techniques for Update Propagation in Intermittently Connected Databases
We consider an environment where one or more servers carry databases that are of interest to a community of clients. The clients are only intermittently connected to the server fo...
Sameer Mahajan, Michael J. Donahoo, Shamkant B. Na...
93
Voted
TVCG
2008
174views more  TVCG 2008»
15 years 13 days ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M....
84
Voted
SODA
2010
ACM
169views Algorithms» more  SODA 2010»
15 years 10 months ago
Efficiently Decodable Non-adaptive Group Testing
We consider the following "efficiently decodable" nonadaptive group testing problem. There is an unknown string x {0, 1}n with at most d ones in it. We are allowed to t...
Piotr Indyk, Hung Q. Ngo, Atri Rudra
95
Voted
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 20 days ago
Group Testing with Probabilistic Tests: Theory, Design and Application
Identification of defective members of large populations has been widely studied in the statistics community under the name of group testing. It involves grouping subsets of items...
Mahdi Cheraghchi, Ali Hormati, Amin Karbasi, Marti...