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» Algorithms for the Sample Mean of Graphs
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TGIS
2010
86views more  TGIS 2010»
14 years 11 months ago
A Road Network Selection Process Based on Data Enrichment and Structure Detection
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
Guillaume Touya
COLT
1999
Springer
15 years 8 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
CAGD
2005
88views more  CAGD 2005»
15 years 4 months ago
An efficient bit allocation for compressing normal meshes with an error-driven quantization
We propose a new wavelet compression algorithm based on the rate-distortion optimization for densely sampled triangular meshes. Exploiting the normal remesher of Guskov et al., th...
Frédéric Payan, Marc Antonini
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 11 months ago
Online Learning of Rested and Restless Bandits
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K...
Cem Tekin, Mingyan Liu
ICASSP
2011
IEEE
14 years 8 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy