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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 5 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ICML
2007
IEEE
16 years 7 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 10 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
16 years 1 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
VTC
2007
IEEE
141views Communications» more  VTC 2007»
16 years 1 months ago
Priority Based Inter-Vehicle Communication in Vehicular Ad-Hoc Networks using IEEE 802.11e
—In this paper, we study the use of IEEE 802.11e for priority based safety messaging for Inter-Vehicle Communications (IVC) in Vehicular Ad-Hoc Networks (VANET). The message prio...
Chakkaphong Suthaputchakun, Aura Ganz