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DMSN
2008
ACM
15 years 8 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
AAAI
2006
15 years 8 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
IJBIDM
2007
91views more  IJBIDM 2007»
15 years 6 months ago
An efficient weighted nearest neighbour classifier using vertical data representation
: The k-nearest neighbour (KNN) technique is a simple yet effective method for classification. In this paper, we propose an efficient weighted nearest neighbour classification algo...
William Perrizo, Qin Ding, Maleq Khan, Anne Denton...
4OR
2005
104views more  4OR 2005»
15 years 6 months ago
The robust shortest path problem with interval data via Benders decomposition
Many real problems can be modelled as robust shortest path problems on digraphs with interval costs, where intervals represent uncertainty about real costs and a robust path is not...
Roberto Montemanni, Luca Maria Gambardella
ICASSP
2011
IEEE
14 years 10 months ago
Time-frequency analysis compensating missing data for Atrial Fibrillation ECG assessment
We propose a novel algorithm for temporal tracking of the fibrillatory frequency for Atrial Fibrillation (AF) ECG. Both Atrial activity extraction and fibrillatory frequency tra...
Sandun Kodituwakku, Rodney A. Kennedy, Thushara D....