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ICASSP
2011
IEEE
12 years 11 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
CVPR
2009
IEEE
14 years 2 months ago
3D morphable face models revisited
In this paper we revisit the process of constructing a high resolution 3D morphable model of face shape variation. We demonstrate how the statistical tools of thin-plate splines a...
Ankur Patel, William A. P. Smith
CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
IJBRA
2008
97views more  IJBRA 2008»
13 years 7 months ago
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
: A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an in...
Deyu Zhou, Yulan He, Chee Keong Kwoh
WSCG
2004
130views more  WSCG 2004»
13 years 8 months ago
A Hybrid Approach to Rendering Handwritten Characters
With the growing popularity of pen-based computers comes the need to display clear handwritten characters at small sizes on low-resolution displays. This paper describes a method ...
Sara L. Su, Chenyu Wu, Ying-Qing Xu, Heung-Yeung S...