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» Gaussian Process Dynamical Models for Human Motion
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SIGGRAPH
2010
ACM
15 years 2 months ago
Feature-based locomotion controllers
This paper introduces an approach to control of physics-based characters based on high-level features of movement, such as centerof-mass, angular momentum, and end-effectors. Obje...
Martin de Lasa, Igor Mordatch, Aaron Hertzmann
DNIS
2005
Springer
112views Database» more  DNIS 2005»
15 years 3 months ago
Modelling Peer-to-Peer Data Networks Under Complex System Theory
: A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data for mutual benefit. PDNs are enabled by distribu...
Cyrus Shahabi, Farnoush Banaei Kashani
NIPS
2001
14 years 11 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
ECCV
2004
Springer
15 years 11 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
75
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CHI
2010
ACM
15 years 4 months ago
Generating default privacy policies for online social networks
Default privacy policies have a significant impact on the overall dynamics and success of online social networks, as users tend to keep their initial privacy policies. In this wor...
Eran Toch, Norman M. Sadeh, Jason I. Hong