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» Deconvolutional networks
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IJCNN
2006
IEEE
13 years 11 months ago
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
— We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. While building on previous work, the system presented i...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
IWANN
2001
Springer
13 years 9 months ago
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari
DEDS
2008
108views more  DEDS 2008»
13 years 5 months ago
An Algorithmic Toolbox for Network Calculus
Network calculus offers powerful tools to analyze the performances in communication networks, in particular to obtain deterministic bounds. This theory is based on a strong mathema...
Anne Bouillard, Eric Thierry
JCM
2007
191views more  JCM 2007»
13 years 5 months ago
Using Antenna Array Redundancy and Channel Diversity for Secure Wireless Transmissions
— The use of signal processing techniques to protect wireless transmissions is proposed as a way to secure wireless networks at the physical layer. This approach addresses a uniq...
Xiaohua Li, Juite Hwu, E. Paul Ratazzi
NIPS
2008
13 years 6 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung