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NCI
2004
132views Neural Networks» more  NCI 2004»
13 years 7 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
NCI
2004
198views Neural Networks» more  NCI 2004»
13 years 7 months ago
A "spiking" bidirectional associative memory for modeling intermodal priming
Starting from a modular artificial neural system modelling the integration of several perceptive stimuli, this article proposes a new implementation of the central module performi...
David Meunier, Hélène Paugam-Moisy
NCI
2004
125views Neural Networks» more  NCI 2004»
13 years 7 months ago
A new approach to blind source separation with global optimal property
This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source sign...
Yiu-ming Cheung, Hailin Liu
NCI
2004
142views Neural Networks» more  NCI 2004»
13 years 7 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
NCI
2004
188views Neural Networks» more  NCI 2004»
13 years 7 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
NCI
2004
13 years 7 months ago
Reasoning with class algebra
Daniel J. Buehrer, Li-Ren Chien
NCI
2004
101views Neural Networks» more  NCI 2004»
13 years 7 months ago
Intelligent monitoring of the offset printing process
In this paper, we present a neural networks and image analysis based approach to assessing colour deviations in an offset printing process from direct measurements on halftone mult...
Lars Bergman, Antanas Verikas
NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 7 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 7 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber