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NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 5 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 9 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 10 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...
CCGRID
2003
IEEE
15 years 10 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 10 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...