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» Detecting critical regions in multidimensional data sets
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CORR
2008
Springer
216views Education» more  CORR 2008»
15 years 6 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
SIGGRAPH
2000
ACM
15 years 10 months ago
Conservative volumetric visibility with occluder fusion
Visibility determination is a key requirement in a wide range of graphics algorithms. This paper introduces a new approach to the computation of volume visibility, the detection o...
Gernot Schaufler, Julie Dorsey, Xavier Déco...
CVPR
2011
IEEE
14 years 10 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
SECON
2007
IEEE
16 years 13 days ago
On the Prevalence of Sensor Faults in Real-World Deployments
—Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such ...
Abhishek Sharma, Leana Golubchik, Ramesh Govindan
INFOCOM
2007
IEEE
16 years 14 days ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina