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» Discovering Clusters in Motion Time-Series Data
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ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 13 days ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
PERCOM
2011
ACM
12 years 9 months ago
On-body device localization for health and medical monitoring applications
—We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health an...
Alireza Vahdatpour, Navid Amini, Majid Sarrafzadeh
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 6 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 24 days ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 1 days ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh