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» Modeling Herds and Their Evolvements from Trajectory Data
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PERCOM
2007
ACM
14 years 8 months ago
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays
Activity monitoring, a crucial task in many applications, is often conducted expensively using video cameras. Also, effectively monitoring a large field by analyzing images from m...
Yunhao Liu, Lei Chen 0002, Jian Pei, Qiuxia Chen, ...
CEC
2009
IEEE
14 years 3 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
MDM
2004
Springer
110views Communications» more  MDM 2004»
14 years 2 months ago
Universal Trajectory Queries for Moving Object Databases
In this paper, we consider a data model for uncertain trajectories of moving objects. In our model, the trajectory is a vector of uniform stochastic processes. We study “univers...
Hoda Mokhtar, Jianwen Su
IBPRIA
2007
Springer
14 years 2 months ago
Robust Multiple-People Tracking Using Colour-Based Particle Filters
Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appe...
Daniel Rowe, Ivan Huerta Casado, Jordi Gonzà...
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
13 years 11 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta