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» Combining Learned Discrete and Continuous Action Models
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ECCV
2004
Springer
14 years 8 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 21 days ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...
MANSCI
2007
90views more  MANSCI 2007»
13 years 6 months ago
Selecting a Selection Procedure
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best’ is defined with respect to the largest mean, but the me...
Jürgen Branke, Stephen E. Chick, Christian Sc...
CHI
2006
ACM
14 years 6 months ago
groupTime: preference based group scheduling
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
Mike Brzozowski, Kendra Carattini, Scott R. Klemme...
QEST
2010
IEEE
13 years 4 months ago
A Phase-Type Representation for the Queue Length Distribution of a Semi-Markovian Queue
Abstract--In this paper we study a broad class of semiMarkovian queues introduced by Sengupta. This class contains many classical queues such as the GI/M/1 queue, SM/MAP/1 queue an...
Benny Van Houdt