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ICSNC
2007
IEEE
14 years 1 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 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...
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
14 years 2 months 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...
FGR
1996
IEEE
111views Biometrics» more  FGR 1996»
13 years 11 months ago
Pfinder: real-time tracking of the human body
Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10Hz on a standard SGI Indy computer, and has performed reliably on thousands of peopl...
Christopher Richard Wren, Ali Azarbayejani, Trevor...