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ICCV
2009
IEEE
16 years 11 months ago
A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
In this paper, we present a novel algorithm for partial intrinsic symmetry detection in 3D geometry. Unlike previous work, our algorithm is based on a conceptually simple and st...
Ruxandra Lasowski, Art Tevs, Hans-Peter Seidel, Mi...
OSDI
2004
ACM
16 years 7 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...
FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
MUE
2008
IEEE
173views Multimedia» more  MUE 2008»
16 years 1 months ago
Efficient Data Dissemination in Mobile P2P Ad-Hoc Networks for Ubiquitous Computing
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
Do-Hoon Kim, Myoung Rak Lee, Longzhe Han, Hoh Pete...
ICCS
2007
Springer
15 years 10 months ago
Multi-level Coupling of Dynamic Data-Driven Experimentation with Material Identification
Abstract. We describe a dynamic data-driven methodology that is capable of simultaneously determining both the parameters of a constitutive model associated with the response of a ...
John Michopoulos, Tomonari Furukawa