Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mark Kliger"'
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030660956
ECCV Workshops (2)
ECCV Workshops (2)
We consider the task of 3D joints location and orientation prediction from a monocular video with the skinned multi-person linear (SMPL) model. We first infer 2D joints locations with an off-the-shelf pose estimation algorithm. We use the SPIN algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b513305556886536344c8fd92e7255
https://doi.org/10.1007/978-3-030-66096-3_37
https://doi.org/10.1007/978-3-030-66096-3_37
Publikováno v:
IROS
Conventional deep learning classifiers are static in the sense that they are trained on a predefined set of classes and learning to classify a novel class typically requires re-training. In this work, we address the problem of Low-Shot network-expans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cfa91d4ac234c03c071f04c5482d5c7
http://arxiv.org/abs/1810.08363
http://arxiv.org/abs/1810.08363
Publikováno v:
Journal of Clinical Monitoring and Computing. 27:659-668
The aim of the present study was to develop and validate an objective index for nociception level (NoL) of patients under general anesthesia, based on a combination of multiple physiological parameters. Twenty-five patients scheduled for elective sur
Autor:
Joseph M. Francos, Mark Kliger
Publikováno v:
Journal of Multivariate Analysis. 101:692-705
Evanescent random fields arise as a component of the 2D Wold decomposition of homogeneous random fields. Besides their theoretical importance, evanescent random fields have a number of practical applications, such as in modeling the observed signal i
Autor:
Joseph M. Francos, Mark Kliger
Publikováno v:
Statistics & Probability Letters. 78:3075-3081
We consider the problem of jointly estimating the number as well as the parameters of 2D sinusoidal signals, observed in the presence of an additive white Gaussian noise field. In this paper we prove the strong consistency of a large family of model
Autor:
Joseph M. Francos, Mark Kliger
Publikováno v:
Journal of Multivariate Analysis. 98(10):1853-1875
We consider the asymptotic properties of the sample mean and the sample covariance sequence of a field composed of the sum of a purely indeterministic and evanescent components. The asymptotic normality of the sample mean and sample covariances is es
Publikováno v:
CVPR Workshops
In this paper we address the problem of matching a kinematic model of an articulated body to a point cloud obtained from a consumer grade 3D sensor. We present the ICPIK algorithm - an Articulated Iterative Closest Point algorithm based on a solution
Publikováno v:
Signal Processing. 72:61-68
The approach presented provides very good results in modelling non-Gaussian time series. It is validated by direct numerical simulation of bimodal and Nakagami distributed sequences with approximately exponential correlation function.
Publikováno v:
Pain practice : the official journal of World Institute of Pain. 15(6)
Objectives The 0 to 100 mm visual analogue scale (VAS) and the five-category verbal rating scale (VRS) are commonly used for measuring pain intensity. An open question remains as to whether these scales can be used interchangeably to allow comparison
Publikováno v:
Information Sciences
Information Sciences, Elsevier, 2013, 251 (Dec), pp.96-113. ⟨10.1016/j.ins.2013.05.040⟩
Information Sciences, Elsevier, 2013, 251 (Dec), pp.96-113. ⟨10.1016/j.ins.2013.05.040⟩
39 pages; International audience; This paper introduces a novel distance measure for clustering high dimensional data based on the hitting time of two Minimal Spanning Trees (MST) grown sequentially from a pair of points by Prim's algorithm. When the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94358fc8743bfcc287233c8823caad63
https://hal.archives-ouvertes.fr/hal-00726005v2/document
https://hal.archives-ouvertes.fr/hal-00726005v2/document