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CRV
2006
IEEE
114views Robotics» more  CRV 2006»
14 years 1 months ago
Single landmark based self-localization of mobile robots
In this paper we discuss landmark based absolute localization of tiny autonomous mobile robots in a known environment. Landmark features are naturally occurring as it is not allow...
Abdul Bais, Robert Sablatnig, Jason Gu
MVA
2007
132views Computer Vision» more  MVA 2007»
13 years 11 months ago
A Comparison of New Generic Camera Calibration with the Standard Parametric Approach
This paper deals with a recently proposed nonparametric approach to camera calibration, which is applicable to any type of sensor design. Currently, no relative quantitative perfo...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
DAGSTUHL
2003
13 years 11 months ago
Towards Imitation Learning from a Viewpoint of an Internal Observer
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
Yuichiro Yoshikawa, Minoru Asada, Koh Hosoda
ICML
2010
IEEE
13 years 11 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
COGSCI
2002
99views more  COGSCI 2002»
13 years 9 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland