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» Modelling Complex Events with Event-Driven Process Chains
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TOPNOC
2008
14 years 11 months ago
Time Recursive Petri Nets
Recursive Petri Nets (RPNs) allow to design and analyze complex discrete event systems. Indeed, RPNs enable to model patterns of discrete event systems related to the dynamic struc...
Djaouida Dahmani, Jean-Michel Ilié, Malika ...
ICIP
2004
IEEE
16 years 1 months ago
A hidden markov model framework for traffic event detection using video features
We present a novel approach for highway traffic event detection. Our algorithm extracts features directly from the compressed video and automatically detects traffic events using ...
Xiaokun Li, Fatih Murat Porikli
SIGIR
2006
ACM
15 years 5 months ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
JCP
2006
111views more  JCP 2006»
14 years 11 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
ICIAP
2007
ACM
15 years 11 months ago
Interval-Based Linear Hybrid Dynamical System for Modeling Cross-Media Timing Structures in Multimedia Signals
In this paper, we propose a computational scheme named an interval-based linear hybrid dynamical system (ILHDS) to represent complex dynamic events based on temporal intervals, ea...
Hiroaki Kawashima, Takashi Matsuyama