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EMNLP
2010
15 years 2 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
IWANN
2011
Springer
14 years 7 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...
ACL
2012
13 years 6 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
105
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SBRN
2008
IEEE
15 years 10 months ago
Combining Distances through an Auto-Encoder Network to Verify Signatures
In this paper we present a system for off-line signature verification. The paper’s contributions are: i) Five distances were calculated and evaluated over the signature databas...
Milena R. P. Souza, Leandro R. Almeida, George D. ...
IJCNN
2007
IEEE
15 years 10 months ago
Implementation of multi-layer leaky integrator networks on a cellular processor array
- We present an application of a massively parallel processor array VLSI circuit to the implementation of neural networks in complex architectural arrangements. The work was motiva...
David R. W. Barr, Piotr Dudek, Jonathan M. Chamber...