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» Online Variance Minimization
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170
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DCOSS
2007
Springer
15 years 9 months ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
162
Voted
MM
2005
ACM
250views Multimedia» more  MM 2005»
15 years 9 months ago
An object-based video coding framework for video sequences obtained from static cameras
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Asaad Hakeem, Khurram Shafique, Mubarak Shah
153
Voted
DMIN
2006
124views Data Mining» more  DMIN 2006»
15 years 5 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
122
Voted
BMCBI
2006
124views more  BMCBI 2006»
15 years 3 months ago
The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microa
Background: The Tissue Microarray (TMA) facilitates high-throughput analysis of hundreds of tissue specimens simultaneously. However, bottlenecks in the storage and manipulation o...
Catherine M. Conway, Deirdre O'Shea, Sallyann O'Br...
154
Voted
JMLR
2008
159views more  JMLR 2008»
15 years 3 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin