Results 11 to 20 of about 560,036 (321)
Size of plots for experiments with cactus pear cv. Gigante
The definition of experimental plot size is an essential tool to ensure precision in statistical analysis in experiments. The objective of this study was to estimate the plot size for the cactus pear cv.
Bruno V. C. Guimarães +4 more
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Predicting the activities and properties of materials via in silico methods has been shown to be a cost- and time-effective way of aiding chemists in synthesizing materials with desired properties.
Meade E. Erickson +2 more
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Dense Segmentation-Aware Descriptors [PDF]
This work has been partially funded by Spanish Ministry of Economy and Competitiveness under projects PAU+ DPI2011-27510, TaskCoop DPI2010-17112, and ERA-Net Chistera project ViSen PCIN-2013-047; by the EU project ARCAS FP7-ICT-2011-28761; by grant ANR-10-JCJC-0205; and by the EU Project MOBOT FP7-ICT-2011-600796. E.
Trulls Fortuny, Eduard +3 more
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Fusing MPEG-7 visual descriptors for image classification [PDF]
This paper proposes three content-based image classification techniques based on fusing various low-level MPEG-7 visual descriptors. Fusion is necessary as descriptors would be otherwise incompatible and inappropriate to directly include e.g.
Avrithis, Yannis +5 more
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Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases [PDF]
In this paper we present an efficient method for visual descriptors retrieval based on compact hash codes computed using a multiple k-means assignment. The method has been applied to the problem of approximate nearest neighbor (ANN) search of local and ...
Bertini, Marco +2 more
core +2 more sources
Application of machine learning in MOFs for gas adsorption and separation
Metal–organic frameworks (MOFs) with high specific surface area, permanent porosity and extreme modifiability had great potential for gas storage and separation applications. Considering the theoretically nearly infinite variety of MOFs, it was difficult
Chao Yang +5 more
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With the continuous improvement of machine learning methods, building the interatomic machine learning potential (MLP) based on the datasets from quantum mechanics calculations has become an effective technical approach to improving the accuracy of ...
Jiawei Jiang +3 more
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Anisotropic Diffusion Descriptors
AbstractSpectral methods have recently gained popularity in many domains of computer graphics and geometry processing, especially shape processing, computation of shape descriptors, distances, and correspondence. Spectral geometric structures are intrinsic and thus invariant to isometric deformations, are efficiently computed, and can be constructed on
Boscaini, D. +4 more
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Aims: We report the genetic, phenological, agronomic and ampelographic characterization of 27 minor grapevine accessions (Vitis vinifera L.) from the Balearic Islands (Spain).
Sonia Garcia-Muñoz +3 more
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A coagulation cascade forms through proteolytic reactions and involves different factors. There are two coagulation pathways, including intrinsic and extrinsic mechanisms, which converge by the formation of factor Xa.
Thi Bich Van Pham, Minh Hao Hoang
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