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» Supporting visual exploration of massive movement data
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SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 8 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
GAMEON
2009
13 years 5 months ago
Analysis of User Trajectories Based on Data Distribution and State Transition: a Case Study with a Massively Multiplayer Online
At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectori...
Ruck Thawonmas, Junichi Oda, Kuan-Ta Chen
TCSV
2008
125views more  TCSV 2008»
13 years 6 months ago
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
H. Vajaria, S. Sarkar, R. Kasturi
VLUDS
2010
212views Visualization» more  VLUDS 2010»
13 years 2 months ago
Open Problems in Computational Steering of Massive Parallel Unstructured Grid Based CFD Simulations
Traditionally, analysis of flow fields resulting from computational fluid dynamics (CFD) calculations is a sequential process. The flow area defined by surrounding geometry is tes...
Christian Wagner
INFOVIS
2000
IEEE
13 years 12 months ago
Visualizing Massive Multi-Digraphs
We describe MGV, an integrated visualization and exploration system for massive multi-digraph navigation. MGV’s only assumption is that the vertex set of the underlying digraph ...
James Abello, Jeffrey L. Korn