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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
165
Voted
TIFS
2010
149views more  TIFS 2010»
15 years 1 months ago
Detecting Forgery From Static-Scene Video Based on Inconsistency in Noise Level Functions
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
MOBIWAC
2006
ACM
16 years 17 days ago
Evaluation of multi-radio extensions to AODV for wireless mesh networks
Due to their self-configuring and self-healing capabilities, as well as their low equipment and deployment cost, Wireless Mesh Networks (WMNs) based on commodity hardware present...
Asad Amir Pirzada, Marius Portmann, Jadwiga Induls...
INFOCOM
2007
IEEE
16 years 27 days ago
Shape Segmentation and Applications in Sensor Networks
—Many sensor network protocols in the literature implicitly assume that sensor nodes are deployed uniformly inside a simple geometric region. When the real deployment deviates fr...
Xianjin Zhu, Rik Sarkar, Jie Gao
PERCOM
2010
ACM
15 years 8 months ago
Engineering energy-efficient target detection applications in Wireless Sensor Networks
This paper addresses the problem of engineering energy-efficient target detection applications using unattended Wireless Sensor Networks (WSNs) for long-lasting surveillance of are...
Paolo Medagliani, Jeremie Leguay, Vincent Gay, Mar...