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» Modeling microstructure noise using Hawkes processes
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ICASSP
2011
IEEE
14 years 1 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
DSRT
2008
IEEE
14 years 11 months ago
RTPROC: A System for Rapid Real-Time Prototyping in Audio Signal Processing
In this contribution a new system for the rapid development of real-time prototypes for digital audio signal processing algorithms on Windows PCs and a Digital Signal Processor (D...
Hauke Krüger, Peter Vary
ICASSP
2009
IEEE
15 years 4 months ago
Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend
In this paper, we propose an F0 Frame Error (FFE) metric which combines Gross Pitch Error (GPE) and Voicing Decision Error (VDE) to objectively evaluate the performance of fundame...
Wei Chu, Abeer Alwan
ICIP
2008
IEEE
15 years 4 months ago
Stochastic fusion of multi-view gradient fields
Image gradients form powerful cues in a host of vision and graphics applications. In this paper, we consider multiple views of a textured planar scene and consider the problem of ...
Aswin C. Sankaranarayanan, Rama Chellappa
CVPR
2007
IEEE
15 years 11 months ago
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
Groupwise shape registration of raw edge sequence is addressed. Automatically extracted edge maps are treated as noised input shape of the deformable object and their registration...
Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Ta...