Results 1 to 10 of about 536,532 (302)
Land, 2021 During the process of urbanization, many green spaces are fragmented for other uses. The key problems for researchers and planners are reducing the fragmentation of green spaces, constructing urban ecological networks, and maintaining sustainable ...
Bo-Xun Huang +2 more
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Flow space reveals the urban network structure and development mode of cities in Liaoning, China
Humanities & Social Sciences Communications, 2023 As an important supplement to “location space”, “flow space” has become an important trend in urban network research. At present, the theoretical basis and empirical research of urban network structure from the perspective of “flow space” are not ...
Shenzhen Tian +5 more
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Structure and Space Pattern in Gunungpati Sub-District
International Journal of Social Science and Religion, 2020 This article focuses on the evaluation of regional spatial planning policies, namely the Regional Regulation of the City of Semarang Number 14 of 2011 concerning the 2011-2031 Regional Spatial Plan, particularly regarding the spatial structure and ...
Al-Adly Darniyus +3 more
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Multivariate pattern analysis of MEG and EEG: a comparison of representational structure in time and space [PDF]
NeuroImage, 2016 Multivariate pattern analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG and EEG have systematic differences in sampling neural activity.
Radoslaw Martin Cichy, D. Pantazis
semanticscholar +3 more sources
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance [PDF]
Computer Vision and Pattern Recognition, 2023 We introduce k-planes, a white-box model for radiance fields in arbitrary dimensions. Our model uses planes to represent a d-dimensional scene, providing a seamless way to go from static (d = 3) to dynamic (d= 4) scenes.
Sara Fridovich-Keil +4 more
semanticscholar +1 more source
An Edit Friendly DDPM Noise Space: Inversion and Manipulations [PDF]
Computer Vision and Pattern Recognition, 2023 Denoising diffusion probabilistic models (DDPMs) employ a sequence of white Gaussian noise samples to generate an image. In analogy with GANs, those noise maps could be considered as the latent code associated with the generated image.
Inbar Huberman-Spiegelglas +2 more
semanticscholar +1 more source
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding [PDF]
Computer Vision and Pattern Recognition, 2022 Recently, learned image compression techniques have achieved remarkable performance, even surpassing the best manually designed lossy image coders. They are promising to be large-scale adopted.
Dailan He +5 more
semanticscholar +1 more source
Video Probabilistic Diffusion Models in Projected Latent Space [PDF]
Computer Vision and Pattern Recognition, 2023 Despite the remarkable progress in deep generative models, synthesizing high-resolution and temporally coherent videos still remains a challenge due to their high-dimensionality and complex temporal dynamics along with large spatial variations.
Sihyun Yu +3 more
semanticscholar +1 more source
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space [PDF]
Computer Vision and Pattern Recognition, 2022 This paper explores the feasibility of finding an optimal sub-model from a vision transformer and introduces a pure vision transformer slimming (ViT-Slim) framework.
Arnav Chavan +5 more
semanticscholar +1 more source
ISPRS International Journal of Geo-Information, 2022 The division of the territorial space functional area is the primary method to study the rational exploitation and use of land space. The research on the Production–Living–Ecological Space (PLES) change and its motivating factors has major implications ...
Ruyi Zhang +3 more
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