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» Unification of Temporal Data Models
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 7 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
93
Voted
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 1 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
108
Voted
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
14 years 10 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
112
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
TACAS
2001
Springer
135views Algorithms» more  TACAS 2001»
15 years 5 months ago
Implementing a Multi-valued Symbolic Model Checker
Multi-valued logics support the explicit modeling of uncertainty and disagreement by allowing additional truth values in the logic. Such logics can be used for verification of dyn...
Marsha Chechik, Benet Devereux, Steve M. Easterbro...