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DBSSC: density-based searchspace-limited subspace clustering
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On prime power elements of GLd(q) acting irreducibly on large subspaces
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Large-scale inference in multiple Gaussian graphical models
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Large deviations rates in a Gaussian setting and related topics
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Learning shared subspaces across multiple views and modalities
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Scalable multivariate time series analysis
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Design and analysis of large scale antenna systems
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Novel algorithms for large scale supervised and one class learning
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Object classification based on neural-network-inspired image transforms
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Statistical insights into deep learning and flexible causal inference
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Plant substructuring and real-time simulation using model reduction
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Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis
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A lower bound for the number of isospectral surfaces of arbitrarily large genus g
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Dynamic latent structured data analytics
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Edge indexing in a grid for highly dynamic virtual environments
Data-driven image analysis, modeling, synthesis and anomaly localization techniques
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Dynamical error suppression for quantum information
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Algorithms for stochastic Galerkin projections: solvers, basis adaptation and multiscale modeling and reduction
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An efficient approach to categorizing association rules
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Tracking multiple articulating humans from a single camera
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Learning and control for wireless networks via graph signal processing
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Entanglement-assisted coding theory
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Spatiotemporal traffic forecasting in road networks
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MOVNet: a framework to process location-based queries on moving objects in road networks
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Model selection principles and false discovery rate control
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