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TNN
2008
106views more  TNN 2008»
15 years 6 months ago
Unsupervised Segmentation With Dynamical Units
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
IJRR
2010
137views more  IJRR 2010»
15 years 5 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
CORR
2010
Springer
156views Education» more  CORR 2010»
15 years 5 months ago
Imitation learning of motor primitives and language bootstrapping in robots
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
Thomas Cederborg, Pierre-Yves Oudeyer
CVPR
2007
IEEE
16 years 8 months ago
Human Detection via Classification on Riemannian Manifolds
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICML
2005
IEEE
16 years 7 months ago
PAC-Bayes risk bounds for sample-compressed Gibbs classifiers
We extend the PAC-Bayes theorem to the sample-compression setting where each classifier is represented by two independent sources of information: a compression set which consists ...
François Laviolette, Mario Marchand