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ICDAR
2009
IEEE
16 years 1 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
16 years 1 months ago
Continuous vocal imitation with self-organized vowel spaces in Recurrent Neural Network
Abstract— A continuous vocal imitation system was developed using a computational model that explains the process of phoneme acquisition by infants. Human infants perceive speech...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
ETFA
2008
IEEE
16 years 1 months ago
Using neural networks for quality management
We present a method for fine grain QoS control of multimedia applications. This method takes as input an application software composed of actions. The execution times are unknown...
Mohamad Jaber, Jacques Combaz, Loïc Strus, Je...
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
16 years 28 days ago
Segmenting acoustic signal with articulatory movement using Recurrent Neural Network for phoneme acquisition
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...
CIDM
2007
IEEE
16 years 27 days ago
Application of Neural Networks for Data Modeling of Power Systems with Time Varying Nonlinear Loads
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....