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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 8 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
SIGMOD
2006
ACM
126views Database» more  SIGMOD 2006»
14 years 8 months ago
Constraint chaining: on energy-efficient continuous monitoring in sensor networks
Wireless sensor networks have created new opportunities for data collection in a variety of scenarios, such as environmental and industrial, where we expect data to be temporally ...
Adam Silberstein, Jun Yang 0001, Rebecca Braynard
MLDM
2007
Springer
14 years 2 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
TCSV
2010
13 years 3 months ago
Face and Human Gait Recognition Using Image-to-Class Distance
We propose a new distance measure for face recognition and human gait recognition. Each probe image (a face image or an average human silhouette image) is represented as a set of ...
Yi Huang, Dong Xu, Tat-Jen Cham
ICDE
2012
IEEE
237views Database» more  ICDE 2012»
11 years 10 months ago
On Discovery of Traveling Companions from Streaming Trajectories
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...