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» On detecting space-time clusters
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ICASSP
2011
IEEE
14 years 1 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
ASUNAM
2011
IEEE
13 years 9 months ago
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Ch...
CCGRID
2009
IEEE
15 years 4 months ago
Collusion Detection for Grid Computing
A common technique for result verification in grid computing is to delegate a computation redundantly to different workers and apply majority voting to the returned results. Howe...
Eugen Staab, Thomas Engel
ICTAI
2008
IEEE
15 years 4 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui
CIDM
2007
IEEE
15 years 4 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan