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ICANNGA
2009
Springer
133views Algorithms» more  ICANNGA 2009»
13 years 11 months ago
Visualizing Time Series State Changes with Prototype Based Clustering
Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
Markus Pylvänen, Sami Äyrämö, ...
CIMCA
2008
IEEE
13 years 11 months ago
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...
Holger Schöner, Bernhard Moser, Adrian A. Dor...
CGF
2010
189views more  CGF 2010»
13 years 4 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
ACIVS
2009
Springer
13 years 11 months ago
Behavioral State Detection of Newborns Based on Facial Expression Analysis
Abstract. Prematurely born infants are observed at a Neonatal Intensive Care Unit (NICU) for medical treatment. Whereas vital body functions are continuously monitored, their incub...
Lykele Hazelhoff, Jungong Han, Sidarto Bambang-Oet...
RAID
2004
Springer
13 years 10 months ago
Seurat: A Pointillist Approach to Anomaly Detection
Abstract. This paper proposes a new approach to detecting aggregated anomalous events by correlating host file system changes across space and time. Our approach is based on a key...
Yinglian Xie, Hyang-Ah Kim, David R. O'Hallaron, M...