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» Distance Functions to Detect Changes in Data Streams
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ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
15 years 4 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
VVS
1998
IEEE
120views Visualization» more  VVS 1998»
15 years 2 months ago
Using Distance Maps for Accurate Surface Representation in Sampled Volumes
High quality rendering and physics-based modeling in volume graphics have been limited because intensity-based volumetric data do not represent surfaces well. High spatial frequen...
Sarah F. Frisken Gibson
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 2 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 3 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
JMM2
2007
127views more  JMM2 2007»
14 years 9 months ago
The Cut Detection Issue in the Animation Movie Domain
— In this paper we are proposing an improved cut detection algorithm adapted to the animation movies domain. A cut is the direct concatenation of two different shots and produces...
Bogdan Ionescu, Patrick Lambert, Didier Coquin, Va...