Results 21 to 30 of about 4,051,827 (361)

A Singular Value Thresholding Algorithm for Matrix Completion [PDF]

open access: yesSIAM Journal on Optimization, 2008
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood as the convex relaxation of a rank minimization problem and arises in many ...
Jian-Feng Cai, E. Candès, Zuowei Shen
semanticscholar   +1 more source

Formation Pore Pressure Prediction and Application Based on Aacoustic Logging

open access: yesCejing jishu, 2023
Formation pore pressure prediction is an important factor in the study of wellbore stability. Accurate prediction of pore pressure can avoid safety problems, such as overflow and blowout, thereby improving drilling efficiency, reducing environmental ...
QI Wenli   +4 more
doaj   +1 more source

Real-time prediction of multivariate ROP (rate of penetration) based on machine learning regression algorithms: Algorithm comparison, model evaluation and parameter analysis

open access: yesEnergy Exploration & Exploitation, 2023
ROP (Rate of Penetration) is a comprehensive indicator of the rock drilling process and how efficiently predicting drilling rates is important to optimize resource allocation, reduce drilling costs and manage drilling hazards.
Wei Liu   +4 more
doaj   +1 more source

Exact Matrix Completion via Convex Optimization [PDF]

open access: yesFoundations of Computational Mathematics, 2008
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M.
E. Candès, B. Recht
semanticscholar   +1 more source

Improving Thermal Stability of Starch in Formate Fluids for Drilling High Temperature Shales [PDF]

open access: yesJournal of Petroleum Science and Technology, 2012
Starch is one of the most widely used biopolymers in water based drilling fluids to control fluid loss. The thermal stability of starch in common drilling fluids is low (93 °C).
M. Valizadeh, ali reza nasire
doaj   +1 more source

The Effect of Additive ZRJ-S1 on Mechanical Properties of Portland Cement

open access: yesAdvances in Materials Science and Engineering, 2022
For mechanical performance perfection of cement-based material, toughening materials are often added to the cement system, such as solid particles, carbon-based material, or other inorganic/organic materials.
Xin Zeng   +6 more
doaj   +1 more source

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Point cloud completion aims to predict a complete shape in high accuracy from its partial observation. However, previous methods usually suffered from discrete nature of point cloud and unstructured prediction of points in local regions, which makes it ...
Peng Xiang   +6 more
semanticscholar   +1 more source

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Current LiDAR-only 3D detection methods inevitably suffer from the sparsity of point clouds. Many multi-modal methods are proposed to alleviate this issue, while different representations of images and point clouds make it difficult to fuse them ...
Xiaopei Wu   +7 more
semanticscholar   +1 more source

PCN: Point Completion Network [PDF]

open access: yesInternational Conference on 3D Vision, 2018
Shape completion, the problem of estimating the complete geometry of objects from partial observations, lies at the core of many vision and robotics applications.
Wentao Yuan   +4 more
semanticscholar   +1 more source

SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2022
Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links. Text-based methods such as KGBERT (Yao et al., 2019) learn entity representations from natural language descriptions, and have the potential for inductive KGC ...
Liang Wang   +3 more
semanticscholar   +1 more source

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