Results 11 to 20 of about 15,521,488 (377)
Inverse scale space decomposition [PDF]
Inverse Problems, 2018 36 pages, 5 figures, submitted to Inverse ...
Marie Foged Schmidt +2 more
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Automatic Detection of Individual Trees from VHR Satellite Images Using Scale-Space Methods. [PDF]
Sensors (Basel), 2020 This research investigates the use of scale-space theory to detect individual trees in orchards from very-high resolution (VHR) satellite images. Trees are characterized by blobs, for example, bell-shaped surfaces.
Mahour M, Tolpekin V, Stein A.
europepmc +2 more sources
Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation. [PDF]
Genome Biol, 2020 We present Mustache, a new method for multi-scale detection of chromatin loops from Hi-C and Micro-C contact maps. Mustache employs scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contact maps.
Roayaei Ardakany A +3 more
europepmc +2 more sources
The Large Scale Structure of Space-Time
, 2023 First published in 1973, this influential work discusses Einstein's General Theory of Relativity to show how two of its predictions arise: first, that the ultimate fate of many massive stars is to undergo gravitational collapse to form 'black holes'; and
S. Hawking, G. Ellis
semanticscholar +1 more source
Intrinsic Image Transformation via Scale Space Decomposition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We introduce a new network structure for decomposing an image into its intrinsic albedo and shading. We treat it as an image-to-image transformation problem and explore the scale space of the input and output.
Lechao Cheng +2 more
semanticscholar +1 more source
ImageBind One Embedding Space to Bind Them All [PDF]
Computer Vision and Pattern Recognition, 2023 We present ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. We show that all combinations of paired data are not necessary to train such a joint embedding, and only ...
Rohit Girdhar +6 more
semanticscholar +1 more source
Results in Physics, 2023 The combination of high-permeability ferrite and coils is often used to nullify ambient magnetic fields and is widely used in applications such as magnetic resonance imaging and high-sensitivity magnetic sensors.
Kun Wang +6 more
doaj +1 more source
Integrated Assessment, 2002 Economists have devoted more attention to the scale of time than to the scale of space. What has been done in the field of space is often general and abstract, not connected to an explicit observation set in time and space. Moreover, time scales and spatial scales are not tied, making the choice for a macro, meso or microeconomic theory a rather ...
van der Veen, Anne, Otter, Henriëtte S.
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Non-Abelian gauge field theory in scale relativity [PDF]
, 2006 Gauge field theory is developed in the framework of scale relativity. In this theory, space-time is described as a non-differentiable continuum, which implies it is fractal, i.e., explicitly dependent on internal scale variables.
Célérier M. N. +10 more
core +6 more sources
Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02, 2001 Context is used in many NLP systems as an indicator of a term's syntactic and semantic function. The accuracy of the system is dependent on the quality and quantity of contextual information available to describe each term. However, the quantity variable is no longer fixed by limited corpus resources.
James R. Curran, Marc Moens
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