Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lee M. Seversky"'
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:97-115
We propose a combined model, which integrates the latent factor model and a sparse graphical model, for network data. It is noticed that neither a latent factor model nor a sparse graphica...
Publikováno v:
IEEE Transactions on Signal Processing. 65:5421-5436
Motivated by missing data recovery in power system monitoring, we study the problem of recovering missing entries of high-dimensional signals that exhibit low-dimensional nonlinear structures. We propose a novel model, termed as “union and sums of
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 23:691-700
Effectively exploring and browsing document collections is a fundamental problem in visualization. Traditionally, document visualization is based on a data model that represents each document as the set of its comprised words, effectively characteriz
Autor:
Yao Xie, Lee M. Seversky
Publikováno v:
Allerton
Detecting emergence of a low-rank signal from high-dimensional data is an important problem arising from many applications such as camera surveillance and swarm monitoring using sensors. We consider a procedure based on the largest eigenvalue of the
Publikováno v:
CVPR Workshops
This work introduces a new dataset and framework for the exploration of topological data analysis (TDA) techniques applied to time-series data. We examine the end-toend TDA processing pipeline for persistent homology applied to time-delay embeddings
Publikováno v:
ICRA
Bio-inspired robot swarms encompass a rich space of dynamics and collective behaviors. Given some agent measurements of a swarm at a particular time instance, an important problem is the classification of the swarm behavior. This is challenging in pr
Autor:
Lee M. Seversky, Lijun Yin
Publikováno v:
Computer Graphics Forum. 31:2097-2106
Shapes with complex geometric and topological features such as tunnels, neighboring sheets, and cavities are susceptible to undersampling and continue to challenge existing reconstruction techniques. In this work we introduce a new measure for point
Publikováno v:
Computers & Graphics. 35:492-499
In this work we propose a new method for estimating the normal orientation of unorganized point clouds. Consistent assignment of normal orientation is a challenging task in the presence of sharp features, nearby surface sheets, noise, undersampling,
Autor:
Lee M. Seversky, Cláudio T. Silva, Gaël Guennebaud, Joshua A. Levine, Matthew Berger, Andrea Tagliasacchi, Pierre Alliez, Andrei Sharf
Publikováno v:
Computer Graphics Forum
Computer Graphics Forum, 2016, pp.27. ⟨10.1111/cgf.12802⟩
Computer Graphics Forum, Wiley, 2016, pp.27. ⟨10.1111/cgf.12802⟩
Computer Graphics Forum, 2016, pp.27. ⟨10.1111/cgf.12802⟩
Computer Graphics Forum, Wiley, 2016, pp.27. ⟨10.1111/cgf.12802⟩
International audience; The area of surface reconstruction has seen substantial progress in the past two decades. The traditional problem addressed by surface reconstruction is to recover the digital representation of a physical shape that has been s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b87bcb97f7850963c345c032d22697a2
http://hdl.handle.net/20.500.12278/121119
http://hdl.handle.net/20.500.12278/121119
Publikováno v:
GlobalSIP
Motivated by missing data recovery for power system monitoring, we study the problem of matrix completion when each column belongs to either one of a few low-dimensional subspaces or the sum of a subset of subspaces. This novel model "union and sums