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Deep Local Feature Descriptor Learning With Dual Hard Batch Construction

IEEE Transactions on Image Processing, 2020
Local feature descriptor learning aims to represent distinctive images or patches with the same local features, where their representation is invariant under different types of deformation. Recent studies have demonstrated that descriptor learning based on Convolutional Neural Network (CNN) is able to improve the matching performance significantly ...
Song Wang   +4 more
openaire   +2 more sources

New Fukui, dual and hyper-dual kernels as bond reactivity descriptors

Physical Chemistry Chemical Physics, 2017
Three new bond reactivity indicators are presented within the framework of the temperature dependent chemical reactivity theory.
Marco Franco-Pérez   +4 more
openaire   +2 more sources

Quantifying electro/nucleophilicity by partitioning the dual descriptor

Journal of Computational Chemistry, 2015
Translating local electro/nucleophilicities into the language of reactive sites is an appealing theoretical challenge that could be conducive to strengthen the collaborative dialogue between experimentalists and quantum chemists. The usual schemes for such condensation, relying on atomic charges, may however lead to important information loss, due to a
Tognetti, Vincent   +2 more
openaire   +3 more sources

Dual Dominant Local Binary Descriptor for Face Recognition

Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence, 2019
Recent years, many LBP variants tried to improve its discrimination and robustness, however, brought about extra cost. In this paper, we propose a compact yet highly robust local binary descriptor Dual Dominate Patterns (DDP) for face recognition which focuses on horizontal, vertical and inclined 45-degree orientations.
Xue Bai, Weihong Deng
openaire   +1 more source

A Ground-State Dual-Descriptor Strategy for Screening Efficient Singlet Fission Systems

The Journal of Physical Chemistry Letters, 2023
Exploration of singlet fission (SF) materials is vital for enhancing the photoelectric conversion efficiency of photovoltaic devices, and the development of an effective screening means is in great demand. In this work, we for the first time propose a promising dual-descriptor strategy to predict the SF energetics (ΔESF) from ground-state electronic ...
Fangkun Wang, Yuxiang Bu
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Descriptors of Pain Sensation: A Dual Hierarchical Model of Latent Structure

The Journal of Pain, 2012
Recently, the lexicon of pain was refined into a parsimonious set of words making up the Pain Descriptor System (PDS). The present study investigated the latent structure of the sensory category of the PDS with its 24 descriptors distributed equally across 8 subcategories.
Fernandez, Ephrem   +4 more
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Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling

2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
In this study we propose a novel cerebral microbleed (CMB) detection technique which simultaneously utilizes distribution information in dual domains and shape information obtained by a Fourier descriptor, and does not rely on a large set of training data.
Hangfan Liu   +2 more
openaire   +1 more source

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