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SOFSEM
2004
Springer
14 years 3 months ago
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Matej Makula, Michal Cernanský, Lubica Benu...
IROS
2006
IEEE
126views Robotics» more  IROS 2006»
14 years 3 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
VLSISP
2002
114views more  VLSISP 2002»
13 years 9 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
IWANN
2009
Springer
14 years 4 months ago
Self Organized Dynamic Tree Neural Network
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...
Juan Francisco de Paz, Sara Rodríguez, Javi...
PREMI
2005
Springer
14 years 3 months ago
Artificial Neural Network Engine: Parallel and Parameterized Architecture Implemented in FPGA
In this paper we present and analyze an artificial neural network hardware engine, its architecture and implementation. The engine was designed to solve performance problems of the...
Milene Barbosa Carvalho, Alexandre Marques Amaral,...