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Noise benefits in expectation-maximization algorithms
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Landscape analysis and algorithms for large scale non-convex optimization
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Models and algorithms for energy efficient wireless sensor networks
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Improving machine learning algorithms via efficient data relevance discovery
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Robust real-time algorithms for processing data from oil and gas facilities
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Train routing and timetabling algorithms for general networks
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Addressing uncertainty in Stackelberg games for security: models and algorithms
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Mocap data compression: algorithms and performance evaluation
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Compression algorithms for distributed classification with applications to distributed speech recognition
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Supervised learning algorithms on factors impacting retweet
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Train scheduling and routing under dynamic headway control
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An algorithmic approach for static and dynamic gesture recognition
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Variational techniques for cardiac image analysis: algorithms and applications
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Algorithms and systems for continual robot learning
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Novel algorithms for large scale supervised and one class learning
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An intelligent tutoring system’s approach for negotiation training
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Efficient data collection in wireless sensor networks: modeling and algorithms
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Elements of next-generation wireless video systems: millimeter-wave and device-to-device algorithms
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Algorithms for solving the train dispatching problem for general networks
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Block-based image steganalysis: algorithm and performance evaluation
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User-centric smart sensing for non-intrusive electricity consumption disaggregation in buildings
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Thwarting adversaries with unpredictability: massive-scale game-theoretic algorithms for real-world security deployments
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Human adversaries in security games: integrating models of bounded rationality and fast algorithms
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Scalable machine learning algorithms for item recommendation
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Efficient estimation and discriminative training for the Total Variability Model
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