Results 31 to 40 of about 1,673,879 (163)
Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi data [PDF]
, 2012 Chapitre 10International audienceThe aim of this chapter is to present a multi-scale representation for spherical data with Poisson noise called Multi-Scale Variance Stabilizing Transform on the Sphere (MS-VSTS) [14], combining the MS-VST [25] with ...
Digel, Seth +7 more
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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
doaj +1 more source
Remote Sensing, 2020 It is challenging for semantic segmentation of buildings based on high-resolution remote sensing images, given high variability of appearance and complicated backgrounds of the buildings and their images.
Chengyi Wang, Lianfa Li
doaj +1 more source
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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Redundant image representation via multi-scale digital Radon projections [PDF]
2008 15th IEEE International Conference on Image Processing, 2008 A novel ordering of digital Radon projections co-efficients is presented here that enables progressive image reconstruc- tion from low resolution to full resolution. The digital Radon transform applied here is the Mojette transform first defined by Guedon et al. in [1].
Kingston, Andrew +2 more
openaire +2 more sources
Mixture of Kernels and Iterated Semidirect Product of Diffeomorphisms Groups
, 2011 In the framework of large deformation diffeomorphic metric mapping (LDDMM), we develop a multi-scale theory for the diffeomorphism group based on previous works. The purpose of the paper is (1) to develop in details a variational approach for multi-scale
Dupuis P. +9 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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Multi-scale Location-Aware Kernel Representation for Object Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Although Faster R-CNN and its variants have shown promising performance in object detection, they only exploit simple first-order representation of object proposals for final classification and regression. Recent classification methods demonstrate that the integration of high-order statistics into deep convolutional neural networks can achieve ...
Wang, Hao +4 more
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Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
, 2017 Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background clutter, etc How to extract powerful features is a fundamental problem in ...
Chen, Xiaotang +3 more
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Continuous Learning in a Hierarchical Multiscale Neural Network
, 2018 We reformulate the problem of encoding a multi-scale representation of a sequence in a language model by casting it in a continuous learning framework.
Chaumond, Julien +2 more
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