Results 21 to 30 of about 354,162 (284)

Fast and accurate visibility preprocessing [PDF]

, 2003
Bibliography: leaves 147-158.Currently, the standard approach to visibility preprocessing algorithms is to use a form of approximate solution, known as conservative culling. Such algorithms over-estimate the set of visible polygons.
Nirenstein, Dr. Shaun, Nirenstein, Shaun
core   +1 more source

Development of a Non-Destructive Method for Detection of the Juiciness of Pear via VIS/NIR Spectroscopy Combined with Chemometric Methods

Foods, 2020
Juiciness is a primary index of pear quality and freshness, which is also considered as important as sweetness for the consumers. Development of a non-destructive detection method for pear juiciness is meaningful for producers and sellers. In this study,
Fan Wang, Chunjiang Zhao, Guijun Yang
doaj   +1 more source

Comparison of Instance Selection and Construction Methods with Various Classifiers

Applied Sciences, 2020
Instance selection and construction methods were originally designed to improve the performance of the k-nearest neighbors classifier by increasing its speed and improving the classification accuracy.
Marcin Blachnik, Mirosław Kordos
doaj   +1 more source

Preprocessing under uncertainty

CoRR, 2015
In this work we study preprocessing for tractable problems when part of the input is unknown or uncertain. This comes up naturally if, e.g., the load of some machines or the congestion of some roads is not known far enough in advance, or if we have to regularly solve a problem over instances that are largely similar, e.g., daily airport scheduling with
Fafianie, Stefan, Kratsch, Stefan, Anh Quyen, Vuong   +2 more
openaire   +5 more sources

Preprocessing of Intractable Problems

Information and Computation, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CADOLI, Marco, Francesco M. Donini, LIBERATORE, Paolo, SCHAERF, Marco   +3 more
openaire   +3 more sources

Making Queries Tractable on Big Data with Preprocessing [PDF]

, 2013
A query class is traditionally considered tractable if there exists a polynomial-time (PTIME) algorithm to answer its queries. When it comes to big data, however, PTIME algorithms often become infeasible in practice.
Neven, Frank, Fan, Wenfei, Frank Neven, Fan, Wenfei; id_orcid, Geerts, Floris, Floris Geerts, Wenfei Fan   +6 more
core   +1 more source

Understanding Emojis for Sentiment Analysis

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
Many people use emojis to express themselves in a more clear and efficient way and the usage of such expressions has grown significantly. In recent years, there have been many research papers that analyze the meanings of individual emojis or show the ...
Byungkyu Yoo, Julia Taylor Rayz
doaj   +1 more source

The Effects of Filter’s Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers

Sensors, 2019
Objective: The aim of this study was to investigate the effects of different preprocessing parameters on the amplitude of median nerve somatosensory evoked potentials (SEPs).
Muhammad Samran Navid, Imran Khan Niazi, Dina Lelic, Asbjørn Mohr Drewes, Heidi Haavik   +4 more
doaj   +1 more source

Limits of Preprocessing

computational complexity
AbstractIt is a classical result that the inner product function cannot be computed by an $${\rm AC}^0$$ AC 0 circuit.
Filmus, Yuval, Ishai, Yuval, Kaplan, Avi, Kindler, Guy   +3 more
openaire   +4 more sources

Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature

Machine Learning and Knowledge Extraction
In this review, we compiled convolutional neural network (CNN) methods which have the potential to automate the manual, costly and error-prone processing of medical images.
Foziya Ahmed Mohammed, Kula Kekeba Tune, Beakal Gizachew Assefa, Marti Jett, Seid Muhie   +4 more
doaj   +1 more source