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» Identifying graphs from noisy and incomplete data
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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining event periodicity from incomplete observations
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
Zhenhui Li, Jingjing Wang, Jiawei Han
CVPR
2007
IEEE
14 years 9 months ago
Global Optimization for Shape Fitting
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
Victor S. Lempitsky, Yuri Boykov
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Label Disambiguation and Sequence Modeling for Identifying Human Activities from Wearable Physiological Sensors
Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...
Wei-Hao Lin, Alexander G. Hauptmann
ICDE
2011
IEEE
281views Database» more  ICDE 2011»
12 years 11 months ago
Declarative analysis of noisy information networks
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Walaa Eldin Moustafa, Galileo Namata, Amol Deshpan...
IDA
2009
Springer
14 years 2 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen