LAUSR

Depth-Based Recognition of Shape Outlying Functions

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0 Published in 2017 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2017.1336445

Abstract: ABSTRACT A major drawback of many established depth functionals is their ineffectiveness in identifying functions outlying merely in shape. Herein, a simple modification of functional depth is proposed to provide a remedy for this difficulty.… read more here.

Keywords: depth based; shape outlying; outlying functions; based recognition ... See more keywords

Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking

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0 Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2018.2877675

Abstract: In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy occlusions and arbitrary facial expression variations. Specifically, we introduce… read more here.

Keywords: facial pose; visibility; model; based facial ... See more keywords

A note on depth-based classification of circular data

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1 Published in 2018 at "Electronic Journal of Applied Statistical Analysis"

DOI: 10.1285/i20705948v11n2p447

Abstract: A procedure is developed in order to deal with the classification problem of objects in circular statistics. It is fully non-parametric and based on depth functions for directional data. Using the so-called DD-plot, we apply… read more here.

Keywords: classification circular; depth; classification; depth based ... See more keywords

Delay minimising depth-based routing for multi-sink underwater wireless sensor networks

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0 Published in 2018 at "International Journal of Sensor Networks"

DOI: 10.1504/ijsnet.2018.10014015

Abstract: Routing in underwater acoustic network is challenging because of longer delays and mobility caused on account of ocean currents and tides. Existing algorithms focus only on delivery of packets with very little consideration to minimising… read more here.

Keywords: based routing; depth based; minimising depth; delay minimising ... See more keywords

Abnormal Topological Organization of Sulcal Depth-Based Structural Covariance Networks in Parkinson's Disease

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0 Published in 2020 at "Frontiers in Aging Neuroscience"

DOI: 10.3389/fnagi.2020.575672

Abstract: Recent research on Parkinson's disease (PD) has demonstrated the topological abnormalities of structural covariance networks (SCNs) using various morphometric features from structural magnetic resonance images (sMRI). However, the sulcal depth (SD)-based SCNs have not been… read more here.

Keywords: depth based; sulcal depth; abnormal topological; parkinson disease ... See more keywords