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TSP
2010
13 years 3 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
CVPR
2005
IEEE
14 years 11 months ago
Modeling and Learning Contact Dynamics in Human Motion
We propose a simple model of human motion as a switching linear dynamical system where the switches correspond to contact forces with the ground. This significantly improves the m...
Alessandro Bissacco
ICMCS
2005
IEEE
95views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Loss-Compensated Reference Frame Optimization for Multi-Path Video Streaming
Recent video coding standards such as H.264 offer the flexibility to select reference frames during motion estimation for predicted frames. In this paper, by tracking loss compen...
Gene Cheung, Wai-tian Tan
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
14 years 2 months ago
Learning-Assisted Multi-Step Planning
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
MLDM
2005
Springer
14 years 2 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...