Zobrazeno 1 - 10
of 510
pro vyhledávání: '"Robert M. Haralick"'
Autor:
Robert M. Haralick, Hirohiko Kushida
Publikováno v:
Progress in Artificial Intelligence. 10:375-389
In this paper, we discourse an analysis of classical first-order predicate logic as a constraint satisfaction problem, CSP. First, we will offer our general framework for CSPs, and then apply it to first-order logic. We claim it would function as a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af18bb0356956866e121363c2fc3c390
https://doi.org/10.1007/s13748-021-00240-8
https://doi.org/10.1007/s13748-021-00240-8
Autor:
Robert M. Haralick, Ahmet Cem Yuksel
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:22-39
This article is written in recognition of W. Bledsoe, who with Browning, introduced the N-tuple subspace classifier in 1959. This 1959 article was the first article to introduce subspace classifiers and the sum rule to combine the outputs of the clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::742f1ef1d44e901991e60f9c29048733
https://doi.org/10.1109/tsmc.2020.3041003
https://doi.org/10.1109/tsmc.2020.3041003
Autor:
Robert M. Haralick
Publikováno v:
Pattern Recognition Letters. 124:2-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51d041e3acedbf08388910985adc4987
https://doi.org/10.1016/j.patrec.2017.12.008
https://doi.org/10.1016/j.patrec.2017.12.008
Autor:
Minhua Huang, Robert M. Haralick
Publikováno v:
Pattern Recognition Letters. 124:21-30
We discuss a more powerful probabilistic graphical model for discovering semantic patterns from sequential text data, such as sentences. It is developed based on the idea that each word (or each symbol) in a sentence itself might carry lexical, seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab48bcd392cf4d2192248640d33c56b8
https://doi.org/10.1016/j.patrec.2018.03.008
https://doi.org/10.1016/j.patrec.2018.03.008
Publikováno v:
ICPR
We present a new measure of dependence suitable for time series forecasting: Partial Monotone Correlation (PMC) that generalizes Monotone Correlation. Unlike the Monotone Correlation, the new measure of dependence uses piecewise strictly monotone tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a471aa3fb685cc035b6cd37ad1e6751
https://doi.org/10.1109/icpr48806.2021.9412404
https://doi.org/10.1109/icpr48806.2021.9412404
Publikováno v:
Experimental Mathematics. 29:66-78
Machine learning and pattern recognition techniques have been successfully applied to algorithmic problems in free groups. In this paper, we seek to extend these techniques to finitely presented non-free groups, with a particular emphasis on polycycl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8045b352888d60c9f7676a6d5d75798a
https://doi.org/10.1080/10586458.2018.1434704
https://doi.org/10.1080/10586458.2018.1434704
Publikováno v:
Bridging People and Sound ISBN: 9783319677378
CMMR
CMMR
Given a data set taken over a population, the question of how can we construct possible explanatory models for the interactions and dependencies in the population is a discovery question. Projection and Relation Join is a way of addressing this quest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4159036b6bbb89869a4f4737c1253374
https://doi.org/10.1007/978-3-319-67738-5_3
https://doi.org/10.1007/978-3-319-67738-5_3
Publikováno v:
Graphical Models. 75:157-176
We present a new multiscale surface representation for 3D shape matching that is based on scale-space theory. The representation, Curvature Scale-Space 3D (CS3), is well-suited for measuring dissimilarity between (partial) surfaces having unknown pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b90e1507a05309b3d23ce2fae0ff56a
https://doi.org/10.1016/j.gmod.2013.01.002
https://doi.org/10.1016/j.gmod.2013.01.002