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» Temporal sequence processing using recurrent SOM
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 26 days ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
ICIP
2001
IEEE
14 years 9 months ago
Temporal interpolation of video sequences using zonal based algorithms
Temporal interpolation has been recently proposed as a solution for increasing temporal resolution or even for predicting missing or corrupted frames within a video sequence. In t...
Alexis M. Tourapis, Hye-Yeon Cheong, Ming L. Liou,...
NIPS
2008
13 years 8 months ago
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
Alex Graves, Jürgen Schmidhuber
ICANN
2010
Springer
13 years 8 months ago
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
Abstract. In this paper, we propose a novel approach for action classification in soccer videos using a recurrent neural network scheme. Thereby, we extract from each video action ...
Moez Baccouche, Franck Mamalet, Christian Wolf, Ch...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 26 days ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer