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NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 3 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
INFOCOM
2012
IEEE
13 years 7 months ago
FlowSifter: A counting automata approach to layer 7 field extraction for deep flow inspection
Abstract—In this paper, we introduce FlowSifter, a systematic framework for online application protocol field extraction. FlowSifter introduces a new grammar model Counting Regu...
Chad R. Meiners, Eric Norige, Alex X. Liu, Eric To...
BIOADIT
2004
Springer
15 years 8 months ago
Biologically Plausible Speech Recognition with LSTM Neural Nets
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Alex Graves, Douglas Eck, Nicole Beringer, Jü...
184
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CCGRID
2003
IEEE
15 years 8 months ago
Kernel Level Speculative DSM
Interprocess communication (IPC) is ubiquitous in today's computing world. One of the simplest mechanisms for IPC is shared memory. We present a system that enhances the Syst...
Cristian Tapus
ASAP
1997
IEEE
92views Hardware» more  ASAP 1997»
15 years 8 months ago
Optimized software synthesis for synchronous dataflow
This paper reviews a set of techniques for compiling dataflow-based, graphical programs for embedded signal processing applications into efficient implementations on programmable ...
Shuvra S. Bhattacharyya, Praveen K. Murthy, Edward...