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ICCV
2009
IEEE
16 years 9 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
ICPR
2008
IEEE
15 years 11 months ago
Regression with interval output values
We consider a regression problem where target values are given as intervals, and propose a statistical approach to it. Although it is hard to solve the optimization problem direct...
Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuc...
PVM
1998
Springer
15 years 8 months ago
Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI
The problem of evaluating the dominant eigenvalue of real matrices using Monte Carlo numerical methods is considered. Three almost optimal Monte Carlo algorithms are presented:
Ivan Dimov, Vassil N. Alexandrov, Aneta Karaivanov...
ACL
2011
14 years 8 months ago
Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation
We describe an exact decoding algorithm for syntax-based statistical translation. The approach uses Lagrangian relaxation to decompose the decoding problem into tractable subprobl...
Alexander M. Rush, Michael Collins
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
15 years 9 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin