Results 21 to 30 of about 1,700,637 (286)
Grey Level Image Components for Multi-scale Representation [PDF]
, 2004 A method to identify grey level image components, suitable for multi-scale analysis, is presented. Generally, a single threshold is not sufficient to separate components, perceived as individual entities. Our process is based on iterated identification and removal of pixels, with different grey level values, causing merging of grey level components at ...
Ramella G, Sanniti di Baja G
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Multi-Scale Neural Network for EEG Representation Learning in BCI [PDF]
IEEE Computational Intelligence Magazine, 2021 11 pages, 7 ...
Wonjun Ko +3 more
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Multi-scale object detection by bottom-up feature pyramid network
The Journal of Engineering, 2019 The deep neural networks has been developed fast and shown great successes in many significant fields, such as smart surveillance, self-driving and face recognition.
Zhao Boya +3 more
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A semantic-based platform for the digital analysis of architectural heritage [PDF]
, 2011 This essay focuses on the fields of architectural documentation and digital representation. We present a research paper concerning the development of an information system at the scale of architecture, taking into account the relationships that can be ...
BUSAYARAT, Chawee +4 more
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Selective Multi-Scale Feature Learning by Discriminative Local Representation
IEEE Access, 2019 In the computer vision community, the general trend has been to capture and select discriminative features in order to yield significantly better performance.
Chengji Xu, Xiaofeng Wang, Yadong Yang
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A class of quantum many-body states that can be efficiently simulated [PDF]
, 2006 We introduce the multi-scale entanglement renormalization ansatz (MERA), an efficient representation of certain quantum many-body states on a D-dimensional lattice.
G. Vidal, P. Calabrese
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Analysis of large-scale UAV images using a multi-scale hierarchical representation
Geo-spatial Information Science, 2018 Unmanned aerial vehicle (UAV)-based imaging systems have many superiorities compared with other platforms, such as high flexibility and low cost in collecting images, providing wide application prospects.
Huai Yu +4 more
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IEEE Access, 2021 Breast cancer is the most commonly diagnosed cancer in women. Mammography is a widely used tool for breast cancer screening. Breast calcifications appear on mammograms as tiny white spots or grainy dots with a variety of clustering structures which may ...
Chatsuda Songsaeng +2 more
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Multi-scale Orderless Pooling of Deep Convolutional Activation Features [PDF]
, 2014 Deep convolutional neural networks (CNN) have shown their promise as a universal representation for recognition. However, global CNN activations lack geometric invariance, which limits their robustness for classification and matching of highly variable ...
D.G. Lowe +5 more
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Robustifying the Multi-Scale Representation of Neural Radiance Fields
CoRR, 2022 Neural Radiance Fields (NeRF) recently emerged as a new paradigm for object representation from multi-view (MV) images. Yet, it cannot handle multi-scale (MS) images and camera pose estimation errors, which generally is the case with multi-view images captured from a day-to-day commodity camera.
Nishant Jain +2 more
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