Results 1 to 10 of about 10,989 (124)

Sparse graphical models via calibrated concave convex procedure with application to fMRI data. [PDF]

J Appl Stat, 2020
This paper proposes a calibrated concave convex procedure (calibrated CCCP) for high-dimensional graphical model selection. The calibrated CCCP approach for the smoothly clipped absolute deviation (SCAD) penalty is known to be path-consistent with probability converging to one in linear regression models.
Son S, Park C, Jeon Y.
europepmc   +3 more sources

A Concave-Convex Procedure for TDOA Based Positioning [PDF]

IEEE Communications Letters, 2013
This letter investigates the time-difference-of-arrival based positioning problem in wireless sensor networks. We consider the least-mean absolute, i.e., the \ell_1 norm, minimization of the residual errors and formulate the positioning problem as a difference of convex functions (DC) programming.
Erik G Strom, Sinan Gezici, Mohammad Reza Gholami   +2 more
exaly   +4 more sources

Joint Beamforming for Integrated Satellite–Terrestrial ISAC Systems [PDF]

Sensors
Satellite–terrestrial integrated networks provide seamless global coverage, especially in remote areas where terrestrial deployment is costly. Integrated sensing and communications (ISAC) enhances spectral efficiency by merging both functions on a single
Tengyu Wang, Qian Wang
doaj   +2 more sources

A Convex–Concave Procedure-Based Method for Optimal Power Flow of Offshore Wind Farms

Frontiers in Energy Research, 2022
In recent years, offshore wind farms have boomed all over the world. It is essential to manage the energy dispatch of the offshore wind power systems to reduce transmission losses.
Yuwei Chen, Yuwei Chen, Hongke Li, Hongke Li, Qing Chen, Qing Chen, Rui Xie, Rui Xie, Xiaohe Wang, Xiaohe Wang   +9 more
doaj   +3 more sources

Inverse covariance estimation from data with missing values using the Concave-Convex Procedure [PDF]

53rd IEEE Conference on Decision and Control, 2014
We study the problem of estimating sparse precision matrices from data with missing values. We show that the corresponding maximum likelihood problem is a Difference of Convex (DC) program by proving some new concavity results on the Schur complements. We propose a new algorithm to solve this problem based on the ConCave-Convex Procedure (CCCP), and we
Anayo Akametalu, Jérôme Thai, Alexandre Bayen   +2 more
exaly   +3 more sources

Effect of emergence profile and space gap size on excess cement in cement-retained implant reconstructions [PDF]

Journal of Advanced Periodontology and Implant Dentistry
Background. Excess cement is one of the most prevalent problems with cement-retained implant-supported prostheses. The excess cement may be considered an important source of inflammation during implant application.
Fariborz Vafaee, Saeed Nikanjam, Arash Farahnaki, Meysam Mahabadi, Sajjad Farashi, Sara Khazaei, Shiva Shahabi   +6 more
doaj   +2 more sources

Effect of an Adjustable Hinged Carbon Fiber Operating Table on Sagittal Alignment of the Lumbar Spine

Applied Sciences, 2022
This is a prospective study that has been done to assess the lumbar sagittal alignment of patients positioned prone over an adjustable hinged carbon fiber operating table. The following three variations of table position have been considered: neutral, 20°
Masato Tanaka, Dhvanit Desai, Yoshihiro Fujiwara, Shinya Arataki, Kajetan Latka, Naveen Sake, Wang Liang, Yuya Kodama, Yoshiaki Miyamoto, Taro Yamauchi   +9 more
doaj   +1 more source

Surgical Outcomes of a New Technique Using a Convex Rod Rotation Maneuver for Adolescent Idiopathic Scoliosis

Spine Surgery and Related Research, 2021
Introduction: Because of adolescent idiopathic scoliosis (AIS), most surgeons use rod rotation on the concave side for Lenke types 1 and 2 curves. Nevertheless, the accurate placement of pedicle screws within dysplastic pedicles, especially on the ...
Shinji Takahashi, Hidetomi Terai, Hiromitsu Toyoda, Masatoshi Hoshino, Akinobu Suzuki, Koji Tamai, Shoichiro Ohyama, Yusuke Hori, Akito Yabu, Hiroaki Nakamura   +9 more
doaj   +1 more source

Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data

International Journal of Applied Mathematics and Computer Science, 2022
Positive unlabeled (PU) learning is an important problem motivated by the occurrence of this type of partial observability in many applications. The present paper reconsiders recent advances in parametric modeling of PU data based on empirical likelihood
Wawrzeńczyk Adam, Mielniczuk Jan
doaj   +1 more source

Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas Systems

Journal of Modern Power Systems and Clean Energy, 2021
This paper proposes a fast and decentralized solution methodology for the robust operation of multi-area integrated electricity-gas systems (M-IEGSs).
Nan Jia, Cheng Wang, Wei Wei, Tianshu Bi
doaj   +1 more source