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IJCNN
2006
IEEE
14 years 1 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
ICIP
1999
IEEE
14 years 9 months ago
Integrating Stereo and Shape from Shading
This paper presents a new method for integrating di erent low level vision modules, stereo and shape from shading, in order to improve the 3D reconstruction of visible surfaces of...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
NN
2004
Springer
102views Neural Networks» more  NN 2004»
14 years 26 days ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
JBCB
2007
161views more  JBCB 2007»
13 years 7 months ago
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation
Mechanistic models for transcriptional regulation are derived using the methods of equilibrium statistical mechanics, to model equilibrating processes that occur at a fast time sc...
Eric Mjolsness
ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
14 years 27 days ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga