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» Activity Modeling Using Event Probability Sequences
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EDUTAINMENT
2007
Springer
14 years 1 months ago
ISRST: An Interest Based Storytelling Model Using Rhetorical Relations
Most storytelling model approaches consider stories formed by sequences of a particular type of event. These sequences are mostly constructed using the inherent temporal characteri...
Arturo Nakasone, Mitsuru Ishizuka
ER
2007
Springer
97views Database» more  ER 2007»
14 years 1 months ago
Towards Active Conceptual Modelling for Sudden Events
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
John F. Roddick, Aaron Ceglar, Denise de Vries
VLDB
2007
ACM
122views Database» more  VLDB 2007»
14 years 7 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
VC
2008
99views more  VC 2008»
13 years 7 months ago
Minimizing probable collision pairs searched in interactive animation authoring
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...
ECAI
2004
Springer
14 years 1 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