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» Robust Induction of Process Models from Time-Series Data
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ICML
2007
IEEE
15 years 10 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
ICANN
2005
Springer
15 years 3 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
ICASSP
2007
IEEE
15 years 3 months ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...
3DIM
2007
IEEE
15 years 1 months ago
Estimating the Location of a Camera with Respect to a 3D Model
An algorithm is presented to estimate the position of a hand-held camera with respect to a 3d world model constructed from range data and color imagery. Little prior knowledge is ...
Gehua Yang, Jacob Becker, Charles V. Stewart
95
Voted
ICIP
1998
IEEE
15 years 11 months ago
Multi-Image Matching for a General Motion Stereo Camera Model
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
Ja Seong Ku, Kyoung Mu Lee, Sang Uk Lee