Results 21 to 30 of about 18,794 (253)
Remote Sensing, 2019 In remote sensing, hyperspectral and polarimetric synthetic aperture radar (PolSAR) images are the two most versatile data sources for a wide range of applications such as land use land cover classification.
Jingliang Hu +3 more
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Concept Discovery for The Interpretation of Landscape Scenicness
Machine Learning and Knowledge Extraction, 2020 In this paper, we study how to extract visual concepts to understand landscape scenicness. Using visual feature representations from a Convolutional Neural Network (CNN), we learn a number of Concept Activation Vectors (CAV) aligned with semantic ...
Pim Arendsen, Diego Marcos, Devis Tuia
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Local non‐linear alignment for non‐linear dimensionality reduction
IET Computer Vision, 2017 In manifold learning, alignment is performed with the objective of deriving the global low‐dimensional coordinates of input data from their local coordinates.
Guo Niu, Zhengming Ma
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OBJECT MANIFOLD ALIGNMENT FOR MULTI-TEMPORAL HIGH RESOLUTION REMOTE SENSING IMAGES CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Multi-temporal remote sensing images classification is very useful for monitoring the land cover changes. Traditional approaches in this field mainly face to limited labelled samples and spectral drift of image information.
G. Gao, M. Zhang, Y. Gu
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Manifold Alignment via Corresponding Projections [PDF]
Procedings of the British Machine Vision Conference 2010, 2010 In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets. Different from the previous algorithms of semi-supervised manifold alignment, our method learns the explicit corresponding projections from each original observation space ...
Deming Zhai +5 more
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Indoor Localization Using Semi-Supervised Manifold Alignment with Dimension Expansion
Applied Sciences, 2016 Location estimation plays a crucial role in Location-Based Services (LBSs) with satisfactory user experience. The Wireless Local Area Network (WLAN) localization approach is preferred as a cost-efficient solution to indoor localization on account of the ...
Qiao Zhang +3 more
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International Journal of Distributed Sensor Networks, 2018 This article aims to optimize the information rate of a cognitive radio network with multiple secondary users. A primary user rate optimization approach based on dichotomy of the degree of freedom is proposed, where the primary users’ eigenmodes are ...
Yibing Li +3 more
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Semi-Supervised Learning for Indoor Hybrid Fingerprint Database Calibration With Low Effort
IEEE Access, 2017 The interest of indoor localization based on the IEEE 802.11 wireless local area network signal increases remarkably to support pervasive computing applications, but the process of fingerprints calibration, which is point-by-point conducted manually, is ...
Mu Zhou +3 more
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Semi-definite Manifold Alignment [PDF]
, 2007 We study the problem of manifold alignment, which aims at "aligning" different data sets that share a similar intrinsic manifold provided some supervision. Unlike traditional methods that rely on pairwise correspondences between the two data sets, our method only needs some relative comparison information like "A is more similar to B than A is to C ...
Liang Xiong +2 more
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Interference alignment schemes for k-user interference channel based on manifold optimization
EURASIP Journal on Wireless Communications and Networking, 2019 Interference alignment (IA) is a key technology for achieving the capacity scaling required by next generation wireless networks, which is proved to obtain the maximum degrees of freedom (DoF).
Chen Zhang +3 more
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