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» Gaussian Process Dynamical Models for Human Motion
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80
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ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
15 years 2 months ago
Improbability Filtering for Rejecting False Positives
—In this paper we describe a novel approach, called improbability filtering, to rejecting false-positive observations from degrading the tracking performance of an Extended Kalma...
Brett Browning, Michael H. Bowling, Manuela M. Vel...
WAPCV
2007
Springer
15 years 3 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
14 years 8 months ago
Planes, trains and automobiles - autonomy for the modern robot
—We are concerned with enabling truly large scale autonomous navigation in typical human environments. To this end we describe the acquisition and modeling of large urban spaces ...
Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M....
81
Voted
ICCV
2005
IEEE
15 years 11 months ago
Multi-Scale Gesture Recognition from Time-Varying Contours
A novel method is introduced to recognize and estimate the scale of time-varying human gestures. It exploits the changes in contours along spatio-temporal directions. Each contour...
Hong Li, Michael A. Greenspan
104
Voted
NECO
2011
14 years 4 months ago
Mechanisms That Modulate the Transfer of Spiking Correlations
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
Robert Rosenbaum, Kresimir Josic