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» Support Recovery of Sparse Signals
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ICASSP
2008
IEEE
15 years 3 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
PODS
2009
ACM
100views Database» more  PODS 2009»
15 years 10 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
EURONGI
2008
Springer
14 years 11 months ago
Performance Evaluation of DTSN in Wireless Sensor Networks
The guaranteed delivery of critical data is an essential requirement in most Wireless Sensor Network (WSN) applications. The paucity of energy, communication, processing and storag...
Francisco Rocha, António Grilo, Paulo Rog&e...
CORR
2010
Springer
148views Education» more  CORR 2010»
14 years 9 months ago
Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging, radar, and ultrawideband communication. Recently, a new framework, referred to as f...
Ronen Tur, Yonina C. Eldar, Zvi Friedman
RECOMB
2005
Springer
15 years 9 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...