Efficient delivery of augmented information services over distributed computing networks
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Efficient crowd-based visual learning for edge devices
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An FPGA-friendly, mixed-computation inference accelerator for deep neural networks
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Incorporating aggregate feature statistics in structured dynamical models for human activity recognition
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Machine learning of DNA shape and spatial geometry
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Learning to optimize the geometry and appearance from images
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Impact of occupants in building performance: extracting information from building data
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Event detection and recounting from large-scale consumer videos
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Resource management for scientific workflows
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Data-driven image analysis, modeling, synthesis and anomaly localization techniques
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Efficient machine learning techniques for low- and high-dimensional data sources
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Smart buildings: employing modern technology to create an integrated, data-driven, intelligent, self-optimizing, human-centered, building automation system
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Novel and efficient schemes for security and privacy issues in smart grids
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A green learning approach to deepfake detection and camouflage and splicing object localization
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A comparison of pixel-based, object-based, deep learning, and data fusion image classification approaches in delineating urban tree canopy in City Terrace
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Information theoretical action selection
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Investigations in music similarity: analysis, organization, and visualization using tonal features
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3D inference and registration with application to retinal and facial image analysis
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Smart monitoring and autonomous situation classification of humans and machines
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Digitizing human performance with robust range image registration
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Enabling spatial-visual search for geospatial image databases
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Human appearance analysis and synthesis using deep learning
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Characterization of space debris from collision events using ballistic coefficient estimation
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Protecting online services from sophisticated DDoS attacks
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Robot vision for the visually impaired
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