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» Distance Functions to Detect Changes in Data Streams
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SIGGRAPH
2000
ACM
15 years 2 months ago
Adaptively sampled distance fields: a general representation of shape for computer graphics
Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate numerous concepts in computer graphics including the representation of geometry and...
Sarah F. Frisken Gibson, Ronald N. Perry, Alyn P. ...
ICDE
2012
IEEE
273views Database» more  ICDE 2012»
13 years 7 days ago
Data3 - A Kinect Interface for OLAP Using Complex Event Processing
—Motion sensing input devices like Microsoft’s Kinect offer an alternative to traditional computer input devices like keyboards and mouses. Daily new applications using this in...
Steffen Hirte, Andreas Seifert, Stephan Baumann, D...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 7 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
JCST
2010
153views more  JCST 2010»
14 years 4 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
ISBI
2008
IEEE
15 years 10 months ago
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of i...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown