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119
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WSOM
2009
Springer
15 years 7 months ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz
ICASSP
2008
IEEE
15 years 7 months ago
Reconstructing sparse signals from their zero crossings
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
Petros Boufounos, Richard G. Baraniuk
125
Voted
SMI
2006
IEEE
152views Image Analysis» more  SMI 2006»
15 years 6 months ago
A Laplacian Based Approach for Free-Form Deformation of Sparse Low-degree IMplicit Surfaces
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Yutaka Ohtake, Takashi Kanai, Kiwamu Kase
130
Voted
ICNP
2005
IEEE
15 years 6 months ago
Efficient Hop ID based Routing for Sparse Ad Hoc Networks
Routing in mobile ad hoc networks remains as a challenging problem given the limited wireless bandwidth, users’ mobility and potentially large scale. Recently, there has been a ...
Yao Zhao, Bo Li, Qian Zhang, Yan Chen, Wenwu Zhu
113
Voted
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
15 years 2 months ago
Blind reconstruction of sparse images with unknown point spread function
We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particu...
Kyle Herrity, Raviv Raich, Alfred O. Hero III