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ICASSP
2010
IEEE
15 years 4 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
MOBILWARE
2009
ACM
16 years 16 days ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
ICASSP
2008
IEEE
16 years 14 days ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan
AMS
2007
Springer
296views Robotics» more  AMS 2007»
16 years 6 days ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
ECAL
2003
Springer
15 years 11 months ago
Multi-agent Model of Biological Swarming
An agent-based approach is used to explain the formation of vortex swarms in biological systems. The dynamics of the multiagent system is described by 3N coupled equations, modeli...
Robert Mach, Frank Schweitzer