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FLAIRS
1998
15 years 1 months ago
Teaching Bottom-up AI from the Top Down
For many reasons, it is desirable to use robots in courses such as introductory computer science, artificial intelligence, and cognitive science, yet the knowledge normally require...
Christopher A. Welty, Kenneth Livingston, Calder M...
AROBOTS
2011
14 years 6 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ACCV
2010
Springer
14 years 6 months ago
A Phase Discrepancy Analysis of Object Motion
Abstract. Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect ob...
Bolei Zhou, Xiaodi Hou, Liqing Zhang
PR
2011
14 years 6 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
CVPR
2012
IEEE
13 years 2 months ago
Max-margin early event detectors
The need for early detection of temporal events from sequential data arises in a wide spectrum of applications ranging from human-robot interaction to video security. While tempor...
Minh Hoai Nguyen, Fernando De la Torre