Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Forchheimer, Robert"'
Autor:
Gerasimov, Jennifer, Tu, Deyu, Hitaishi, Vivek, Harikesh, Padinhare Cholakkal, Yang, Chi-Yuan, Abrahamsson, Tobias, Rad, Meysam, Donahue, Mary J., Ejneby, Malin Silverå, Berggren, Magnus, Forchheimer, Robert, Fabiano, Simone
Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living tissue. New devices will need to be developed that can receive data fro
Externí odkaz:
http://arxiv.org/abs/2211.16214
We suggest a novel classification algorithm that is based on local approximations and explain its connections with Artificial Neural Networks (ANNs) and Nearest Neighbour classifiers. We illustrate it on the datasets MNIST and EMNIST of images of han
Externí odkaz:
http://arxiv.org/abs/2207.07720
A windowed version of the Nearest Neighbour (WNN) classifier for images is described. While its construction is inspired by the architecture of Artificial Neural Networks, the underlying theoretical framework is based on approximation theory. We illu
Externí odkaz:
http://arxiv.org/abs/2204.13141
Publikováno v:
In Forensic Science International September 2024 362
Publikováno v:
Proceedings of the Croatian Compter Vision Workshop, 2014
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This is especially evident in unconstrained environments, i.e., in the prese
Externí odkaz:
http://arxiv.org/abs/1403.6888
We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in their internal nodes and this makes them able to process image regions
Externí odkaz:
http://arxiv.org/abs/1305.4537
Akademický článek
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Akademický článek
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Publikováno v:
In Pattern Recognition February 2014 47(2):578-587
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2011 Sep . 108(37), 15069-15073.
Externí odkaz:
https://www.jstor.org/stable/41352046