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» Estimating Dominance Norms of Multiple Data Streams
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IDA
2009
Springer
14 years 1 months ago
Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent C...
Francesco Nesta, Piergiorgio Svaizer, Maurizio Omo...
ICASSP
2009
IEEE
14 years 2 months ago
A speech fragment approach to localising multiple speakers in reverberant environments
Sound source localisation cues are severely degraded when multiple acoustic sources are active in the presence of reverberation. We present a binaural system for localising simult...
Heidi Christensen, Ning Ma, Stuart N. Wrigley, Jon...
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
PODS
2010
ACM
215views Database» more  PODS 2010»
14 years 14 days ago
An optimal algorithm for the distinct elements problem
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Daniel M. Kane, Jelani Nelson, David P. Woodruff
CVPR
2003
IEEE
14 years 21 days ago
Dynamic Depth Recovery from Unsynchronized Video Streams
In this paper, we propose an algorithm for estimating dense depth information of dynamic scenes from multiple video streams captured using unsynchronized stationary cameras. We so...
Chunxiao Zhou, Hai Tao