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97
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IJCV
2010
152views more  IJCV 2010»
14 years 11 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
VMCAI
2012
Springer
13 years 8 months ago
A General Framework for Probabilistic Characterizing Formulae
Abstract. Recently, a general framework on characteristic formulae was proposed by Aceto et al. It offers a simple theory that allows one to easily obtain characteristic formulae o...
Joshua Sack, Lijun Zhang
103
Voted
VOSS
2004
Springer
125views Mathematics» more  VOSS 2004»
15 years 6 months ago
Probabilistic Automata: System Types, Parallel Composition and Comparison
We survey various notions of probabilistic automata and probabilistic bisimulation, accumulating in an expressiveness hierarchy of probabilistic system types. The aim of this paper...
Ana Sokolova, Erik P. de Vink
FTCGV
2011
122views more  FTCGV 2011»
14 years 4 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
15 years 7 months ago
Homography Based Kalman Filter for Mosaic Building. Applications to UAV position estimation
— This paper presents a probabilistic framework where uncertainties can be considered in the mosaic building process. It is shown how can be used as an environment representation...
Fernando Caballero, Luis Merino, Joaquin Ferruz, A...