2,124 research outputs found
Deep Structured Features for Semantic Segmentation
We propose a highly structured neural network architecture for semantic
segmentation with an extremely small model size, suitable for low-power
embedded and mobile platforms. Specifically, our architecture combines i) a
Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random
layer realizing a radial basis function kernel approximation, and iii) a linear
classifier. While stages i) and ii) are completely pre-specified, only the
linear classifier is learned from data. We apply the proposed architecture to
outdoor scene and aerial image semantic segmentation and show that the accuracy
of our architecture is competitive with conventional pixel classification CNNs.
Furthermore, we demonstrate that the proposed architecture is data efficient in
the sense of matching the accuracy of pixel classification CNNs when trained on
a much smaller data set.Comment: EUSIPCO 2017, 5 pages, 2 figure
Observational constraints on the types of cosmic strings
This paper is aimed at setting observational limits to the number of cosmic
strings (Nambu-Goto, Abelian-Higgs, semilocal) and other topological defects
(textures). Radio maps of CMB anisotropy, provided by the space mission Planck
for various frequencies, were filtered and then processed by the method of
convolution with modified Haar functions (MHF) to search for cosmic string
candidates. This method was designed to search for solitary strings, without
additional assumptions about the presence of networks of such objects. The
sensitivity of the MHF method is in a background of
. The comparison of these with previously known
results on search string network shows that strings can only be semilocal in an
amount of , with the upper restriction on individual strings tension
(linear density) of . The texture model is
also legal. There are no strings with . However,
comparison with the data for the search of non-Gaussian signals shows that the
presence of several (up to 3) of Nambu-Goto strings is also possible. For
the MHF method is ineffective because of
unverifiable spurious string candidates. Thus the existence of strings with
tensions is not prohibited but it is beyond
the Planck data possibilities.Comment: 15 pages, 10 figures; accepted by the European Physical Journal
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