
Sequencebased Multimodal Apprenticeship Learning For Robot Perception and Decision Making
Apprenticeship learning has recently attracted a wide attention due to i...
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Simultaneous Feature and BodyPart Learning for RealTime Robot Awareness of Human Behaviors
Robot awareness of human actions is an essential research problem in rob...
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Optimal LowRank Tensor Recovery from Separable Measurements: Four Contractions Suffice
Tensors play a central role in many modern machine learning and signal p...
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SpaceTime Representation of People Based on 3D Skeletal Data: A Review
Spatiotemporal human representation based on 3D visual perception data i...
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ManifoldBased Signal Recovery and Parameter Estimation from Compressive Measurements
A field known as Compressive Sensing (CS) has recently emerged to help a...
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ROAST: Rapid Orthogonal Approximate Slepian Transform
In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...
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Geometry of Factored Nuclear Norm Regularization
This work investigates the geometry of a nonconvex reformulation of mini...
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SpecWatch: A Framework for Adversarial Spectrum Monitoring with Unknown Statistics
In cognitive radio networks (CRNs), dynamic spectrum access has been pro...
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The Global Optimization Geometry of Shallow Linear Neural Networks
We examine the squared error loss landscape of shallow linear neural net...
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QuasiDilemmas for Artificial Moral Agents
In this paper we describe moral quasidilemmas (MQDs): situations simila...
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Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (NMF), a special but importan...
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Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
Humanrobot communication in situated environments involves a complex in...
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A Nonstationary Designer SpaceTime Kernel
In spatial statistics, kriging models are often designed using a station...
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Simultaneous Sparse Recovery and Blind Demodulation
The task of finding a sparse signal decomposition in an overcomplete dic...
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Provable Bregmandivergence based Methods for Nonconvex and NonLipschitz Problems
The (global) Lipschitz smoothness condition is crucial in establishing t...
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Pushing the Limit: A Hybrid Parallel Implementation of the Multiresolution Approximation for Massive Data
The multiresolution approximation (MRA) of Gaussian processes was recen...
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CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
With the rise of crowdsourcing and mobile crowdsensing techniques, a lar...
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Stochastic Iterative Hard Thresholding for LowTuckerRank Tensor Recovery
Lowrank tensor recovery problems have been widely studied in many appli...
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Developing a ScenarioBased Video Game Generation Framework: Preliminary Results
Emergency training and planning provide structured curricula, rulebased...
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GraphZero: Breaking Symmetry for Efficient Graph Mining
Graph mining for structural patterns is a fundamental task in many appli...
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Sampled Limited Memory Methods for Massive Linear Inverse Problems
In many modern imaging applications the desire to reconstruct high resol...
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Parallel crossvalidation: a scalable fitting method for Gaussian process models
Gaussian process (GP) models are widely used to analyze spatially refere...
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Rapid Numerical Approximation Method for Integrated Covariance Functions Over Irregular Data Regions
In many practical applications, spatial data are often collected at area...
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An Intentbased Taskaware Shared Control Framework for Intuitive Object Telemanipulation
Shared control in teleoperation for providing robot assistance to accomp...
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A General Arbitration Model for Robust HumanRobot Shared Control with MultiSource Uncertainty Modeling
Shared control in teleoperation leverages both human and robot's strengt...
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Unsupervised machine learning of quantum phase transitions using diffusion maps
Experimental quantum simulators have become large and complex enough tha...
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Robust Robotassisted Telegrasping Through IntentUncertaintyAware Planning
In teleoperation, research has mainly focused on target approaching, whe...
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Givenness Hierarchy Theoretic Cognitive Status Filtering
For languagecapable interactive robots to be effectively introduced int...
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mines
Colorado School of Mines, also referred to as "Mines", is a public teaching and research university in Golden, Colorado, devoted to engineering and applied science, with special expertise in the development and stewardship of the Earth's natural resour...