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» Extracting Events from Spatial Time Series
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GEOINFO
2003
13 years 10 months ago
An Early Warning System for Space-Time Cluster Detection
A new topic of great relevance and concern has been the design of efficient early warning systems to detect as soon as possible the emergence of spatial clusters. In particular, m...
Renato M. Assunção, Andréa Ia...
CGF
2010
189views more  CGF 2010»
13 years 9 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...
ECOI
2010
117views more  ECOI 2010»
13 years 9 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
ICST
2009
IEEE
14 years 3 months ago
On the Effectiveness of Test Extraction without Overhead
Developers write and execute ad-hoc tests as they implement software. While these tests reflect important insights of the developers (e.g., which parts of the software need testi...
Andreas Leitner, Alexander Pretschner, Stefan Mori...
ECAI
2004
Springer
14 years 2 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana