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Inferring Assembly Objects and Sequences from Demonstrations

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Inferring Assembly Objects and Sequences from Demonstrations

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A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

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Visual processing-inspired Fern-Audio features for Noise-Robust Speaker Verification

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