Results 11 to 20 of about 16,720 (151)
A dichotomy color quantization algorithm for the HSI color space
Scientific Reports, 2023 Color quantization is used to obtain an image with the same number of pixels as the original but represented using fewer colors. Most existing color quantization algorithms are based on the Red Green Blue (RGB) color space, and there are few color ...
Xia Yu +5 more
doaj +1 more source
Zariski quantization as second quantization [PDF]
Physical Review D, 2012 18 pages, 2 ...
openaire +2 more sources
The Mathematics of Second Quantization [PDF]
Proceedings of the National Academy of Sciences, 1951 quantum field theory. Although few nonspecialists have had opportunity to become familiar with the language of modern pure mathematics, quantum theory seems to have reached a point where it must use that language if it is to find a genuine escape from the divergence difficulties.
openaire +5 more sources
Superposition and second quantization in classical mechanics
Results in Physics, 2019 Some natural phenomena can be measured directly, while others are recognized indirectly by clues. In this study, we show that the classical laws of mechanics can be reformulated with entangled labeling-states that experience a collapse.
Yehuda Roth
doaj +1 more source
Second Quantized Frobenius Algebras [PDF]
Communications in Mathematical Physics, 2004 39p. Latex.
openaire +3 more sources
A Hybrid Color Image Quantization Algorithm Based on K-means and Harmony Search Algorithms [PDF]
Port Said Engineering Research Journal, 2015 The importance of color image quantization is reduce the number of different colors in an image with minimum distortion so, it is one of the most important operations in the computer graphics and image processing.
Rehab AbdElkader +2 more
doaj +1 more source
Quasi-free “second quantization” [PDF]
Communications in Mathematical Physics, 1976 Araki and Wyss considered in 1964 a mapA→Q(A) of one-particle trace-class observables on a complex Hilbert-space ℋ into the fermionC*-algebraU(ℋ) over ℋ. In particular they considered this mapping in a quasi-free representation.
openaire +3 more sources
A Configurable Architecture for Running Hybrid Convolutional Neural Networks in Low-Density FPGAs
IEEE Access, 2020 Convolutional neural networks have become the state of the art of machine learning for a vast set of applications, especially for image classification and object detection.
Mario P. Vestias +3 more
doaj +1 more source
Robust Precoding for Multi-User Visible Light Communications with Quantized Channel Information
Sensors, 2022 In this paper, we address the design of multi-user multiple-input single-output (MU-MISO) precoders for indoor visible light communication (VLC) systems. The goal is to minimize the transmitted optical power per light emitting diode (LED) under imperfect
Olga Muñoz +2 more
doaj +1 more source
Support and Optimization of Multi-Granularity Quantization Framework for Deep Learning Compiler [PDF]
Jisuanji gongchengWith the increasing demand for the deployment of large models by major manufacturers, the accuracy of the single quantization method of deep learning compiler Tensor Virtual Machine (TVM) has decreased, and this method is no longer sufficient to satisfy ...
WEI Mingkang, LI Jianan, HAN Lin, GAO Wei, ZHAO Rongcai, WANG Hongsheng
doaj +1 more source