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We demonstrate the preparation and unique properties of composite vitrimer-like materials containing silica nanoparticles (SNPs). The matrix is composed of polyacrylate-based polymers crosslinked via ...
To gain better interfacial and mechanical performances of carbon fiber-reinforced epoxy resin (CF/EP) composites, the surface modification of CF was carried out via a simple mild method. The polydopam...
Meniscus tissue engineering has provided a great potential treatment for meniscal injuries. However, few scaffolds in meniscus tissue engineering have matched the mechanical properties of native menis...
Fundamental Matrix Estimation is of vital importance in many vision applications and is a core part of 3D reconstruction pipeline. Radial distortion makes the problem to be numerically challenging. We...
Background: In a simulated gastrointestinal environment, the cheese matrix modulates dairy fat digestion. However, to our knowledge, the impact of the cheese matrix on postprandial lipemia in humans h...
Foods consist of a large number of different nutrients that are contained in a complex structure. The nature of the food structure and the nutrients therein (i.e., the food matrix) will determine the ...
Template attacks have been shown to be among the strongest attacks when it comes to side–channel attacks. An essential ingredient there is to calculate the inverse of a covariance matrix. In this pape...
This paper presents four practical studies on the helicopter-based use of high resolution digital stillvideo cameras for aerotriangulation and the automatic generation of digital elevation models and...
A comprehensive model is proposed to accurately describe drug release kinetics from a coated plane sheet when drug loading in the core is above its saturation level. The general solutions are acquired...
In this article, a range image sequence tracking approach is proposed, which combines 3-D camera intensity and range observations in an integrated geometric transformation model. Based on 2-D least s...
Todays, stability of human life is threatened by a set of parameters. So sustainable urban development theory is introduced after the stability theory to protect the urban environment. In recent years...
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
Professionals of various backgrounds have recognized the value that the use of geospatial imagery can add to their analysis. They take advantage of the widespread availability of data in vast image ...
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
Regularization for Matrix Completion     Noise  low rank matrix  computer vision  signal processing       font style='font-size:12px;'> 2015/8/21
We consider the problem of reconstructing a low rank matrix from noisy observations of a subset of its entries. This task has applications in statistical learning, computer vision, and signal processi...

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