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Matching Networks

Found 9 free book(s)
“L” Matching Networks - UC Santa Barbara

“L” Matching Networks - UC Santa Barbara

web.ece.ucsb.edu

“L” Matching Networks 8 possibilities for single frequency (narrow-band) lumped element matching networks. Figure is from: G. Gonzalez, Microwave Transistor Amplifiers: Analysis and Design, Second Ed., Prentice Hall, 1997. These networks are used to cancel the reactive component of the load and transform the

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Chapter 5 – Impedance Matching and Tuning - ITTC

Chapter 5 – Impedance Matching and Tuning - ITTC

www.ittc.ku.edu

3/12/2007 Matching Networks and Transmission Lines 1/7 Jim Stiles The Univ. of Kansas Dept. of EECS Matching Networks and Transmission Lines Recall that a primary purpose of a transmission line is to allow the transfer of power from a source to a load. Q: So, say we directly connect an arbitrary source to an

  Network, Matching, Matching networks

Impedance Matching - QSL.net

Impedance Matching - QSL.net

www.qsl.net

• The matching process becomes more difficult when real parts of the terminations are unequal, or when they have complex impedances. Example: Match a 50 Ω resistive source at 100MHz, to a 50 Ω resistive load that has in series a 1.59pF ... Impedance Matching using Resistor Networks

  Network, Matching

Superpixel Segmentation With Fully Convolutional …

Superpixel Segmentation With Fully Convolutional

openaccess.thecvf.com

In the past few years, deep networks [45, 31, 29, 44] taking advantage of large-scale annotated data have gen-erated impressive stereo matching results. Recent meth-ods [17, 7, 8] employing 3D convolution achieve the state-of-the-art performance on public benchmarks. However, due to the memory constraints, these methods typically

  Network, With, Matching, Fully, Segmentation, Superpixels, Convolutional, Superpixel segmentation with fully convolutional

Matching Networks - University of California, Berkeley

Matching Networks - University of California, Berkeley

rfic.eecs.berkeley.edu

The L-matching networks are designed as follows: 1 Calculate the boosting factor m = R hi R lo. 2 Compute the required circuit Q by (1 + Q2) = m, or Q = p m 1. 3 Pick the required reactance from the Q. If you’re boosting the resistance, e.g. R S > R L, then X s = Q R L. If you’re

  Network, Matching, Matching networks

Matching Networks for One Shot Learning - NeurIPS

Matching Networks for One Shot Learning - NeurIPS

proceedings.neurips.cc

Figure 1: Matching Networks architecture showing only a few examples per class, switching the task from minibatch to minibatch, much like how it will be tested when presented with a few examples of a new task. Besides our contributions in defining a model and training criterion amenable for one-shot learning,

  Network, Matching, Matching networks

Algorithms for Graph Similarity and Subgraph Matching

Algorithms for Graph Similarity and Subgraph Matching

www.cs.cmu.edu

matching, which are both important practical problems useful in several fields of science, engineer-ing and data analysis. For the problem of graph similarity, we develop and test a new framework for solving the problem using belief propagation and …

  Matching, Algorithm, Graph, Similarity, Algorithms for graph similarity and subgraph matching, Subgraph

Abstract

Abstract

arxiv.org

matching and camera pose estimation tasks with indoor and outdoor datasets. The experiments show that LoFTR out-performs detector-based and detector-free feature matching baselines by a large margin. LoFTR also achieves state-of-the-art performance and ranks first among the published methods on two public benchmarks of visual localization.

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ABSTRACT arXiv:1409.1556v6 [cs.CV] 10 Apr 2015

ABSTRACT arXiv:1409.1556v6 [cs.CV] 10 Apr 2015

arxiv.org

arXiv:1409.1556v6 [cs.CV] 10 Apr 2015 Published as a conference paper at ICLR 2015 VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION Karen Simonyan∗ & Andrew Zisserman+ Visual Geometry Group, Department of Engineering Science, University of Oxford

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