Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jacek Skryzalin"'
Autor:
Ross L. Hansen, Jacek Skryzalin, Thomas E. LaBruyere, R. Derek West, Katherine M. Simonson, Mark Hilary Van Benthem
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:4467-4485
In practical applications of automated terrain classification from high-resolution polarimetric synthetic aperture radar (PolSAR) imagery, different terrain types may inherently contain a high level of internal variability, as when a broadly defined
Autor:
Jacek Skryzalin, Gunnar E. Carlsson
Publikováno v:
Journal of Applied and Computational Topology. 1:89-119
Topological data analysis is the study of data using techniques from algebraic topology. Often, one begins with a finite set of points representing data and a “filter” function which assigns a real number to each datum. Using both the data and th
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783030112851
We develop a method for time-dependent topic tracking and meme trending in social media. Our objective is to identify time periods whose content differs significantly from normal, and we utilize two techniques to do so. The first is an information-th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d400f14fc12b4e622bfe0efe01ca34a
https://doi.org/10.1007/978-3-030-11286-8_10
https://doi.org/10.1007/978-3-030-11286-8_10
Publikováno v:
ASONAM
We apply transfer learning techniques to create topically and/or stylistically biased natural language models from small data samples, given generic long short-term memory (LSTM) language models trained on larger data sets. Although LSTM language mod
Publikováno v:
ASONAM
In this work, we approach topic tracking and meme trending in social media with a temporal focus; rather than analyzing topics, we aim to identify time periods whose content differs significantly from normal. We detail two approaches. The first is an