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AADEBUG
1997
Springer
15 years 11 months ago
Observation and Control for Debugging Distributed Computations
I present a general framework for observing and controlling a distributed computation and its applications to distributed debugging. Algorithms for observation are useful in distr...
Vijay K. Garg
RC
2007
83views more  RC 2007»
15 years 6 months ago
Computing the Pessimism of Inclusion Functions
Abstract. “Computing the pessimism” means bounding the overestimation produced by an inclusion function. There are two important distinctions with classical error analysis. Fir...
Gilles Chabert, Luc Jaulin
ICPR
2008
IEEE
16 years 8 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
ICPR
2000
IEEE
16 years 8 months ago
A Quick 3D-2D Registration Method for a Wide-Range of Applications
Amethod for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a...
Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Ali...
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
16 years 13 days ago
Fast Computational Methods for Visually Guided Robots
— This paper proposes numerical algorithms for reducing the computational cost of semi-supervised and active learning procedures for visually guided mobile robots from O(M3 ) to ...
Maryam Mahdaviani, Nando de Freitas, Bob Fraser, F...