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ESAW
2004
Springer
16 years 18 days ago
Techniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
Manuel Fehler, Franziska Klügl, Frank Puppe
CVPR
2005
IEEE
16 years 9 months ago
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
Wei Liu, Dahua Lin, Xiaoou Tang
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
16 years 1 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 22 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 10 months ago
Analytical Evaluation of Fractional Frequency Reuse for OFDMA Cellular Networks
Fractional frequency reuse (FFR) is an interference management technique well-suited to OFDMAbased cellular networks wherein the cells are partitioned into spatial regions with di...
Thomas David Novlan, Radha Krishna Ganti, Arunabha...