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ISVC
2005
Springer
15 years 7 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 9 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
100
Voted
UAI
1998
15 years 3 months ago
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
Bo Thiesson, Christopher Meek, David Maxwell Chick...
113
Voted
CSC
2007
15 years 3 months ago
Visualization a la Unix
A visualization framework can be seen as a solution to a specialized data flow problem. Spiegel1 is a visualization framework which uses the Unix pipeline model to execute program...
Hans-Peter Bischof, Tim Peterson
122
Voted
DAWAK
2009
Springer
15 years 7 months ago
Mining Violations to Relax Relational Database Constraints
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...
Mirjana Mazuran, Elisa Quintarelli, Rosalba Rossat...