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» Generic Pickling and Minimization
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ICANN
2003
Springer
15 years 3 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
DATE
2002
IEEE
242views Hardware» more  DATE 2002»
15 years 3 months ago
Automatic Generation of Common-Centroid Capacitor Arrays with Arbitrary Capacitor Ratio
The key performance of many analog circuits is directly related to accurate capacitor ratios. It is well known that capacitor ratio precision is greatly enhanced by paralleling id...
Mohamed Dessouky, DiaaEldin Sayed
DATE
2004
IEEE
151views Hardware» more  DATE 2004»
15 years 1 months ago
Boosting: Min-Cut Placement with Improved Signal Delay
In this work we improve top-down min-cut placers in the context of timing closure. Using the concept of boosting factors, we adjust net weights according to net spans, so as to re...
Andrew B. Kahng, Igor L. Markov, Sherief Reda
LISA
2007
15 years 14 days ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
EMNLP
2008
14 years 11 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney