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Inference of multiple curves and surfaces from sparse data
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An architecture for parallel processing of "sparse" data streams
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Failure prediction for rod pump artificial lift systems
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Data-driven approaches to studying protein-DNA interactions from a structural point of view
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Stochastic optimization in high dimension
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Accurate 3D model acquisition from imagery data
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Large-scale multiple hypothesis testing and simultaneous inference: compound decision theory and data driven procedures
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Scalable multivariate time series analysis
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Using census data, urban-land cover classification, and dasymetric mapping to measure urban growth of the lower Rio Grande Valley, Texas
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Statistical approaches for inferring category knowledge from social annotation
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Experimental and computational models for seizure prediction
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Point cloud data fusion of RGB and thermal information for advanced building envelope modeling in support of energy audits for large districts
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Difference-of-convex learning: optimization with non-convex sparsity functions
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Shrinkage methods for big and complex data analysis
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High-dimensional feature selection and its applications
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An efficient approach to categorizing association rules
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Comparative study between ART3 and stochastic inversion for an inverse problem in seismology: A proposition for the analysis of a large, sparse, linear system by ART3
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Inference of computational models of tendon networks via sparse experimentation
Human activity analysis with graph signal processing techniques
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Probabilistic framework for mining knowledge from georeferenced social annotation
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Evolution & ecology of Mesozoic birds: a case study of the derived Hesperornithiformes and the use of morphometric data in quantifying avian paleoecology
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Mechanisms for co-location privacy
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Efficient and accurate in-network processing for monitoring applications in wireless sensor networks
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Using GIS to explore the tradeoffs in hydrographic survey planning: an investigation of sampling, interpolation, and local geomorphology
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Graphic delineation and sequential diagramming of visual and conceptual data
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