Computer, Deep Learning, image processing
Jag är en pythonprogrammerare. Jag har fyra års erfarenhet av python. Jag är redo att acceptera Python-projektet. Keras, TensorFlow, Scipy, Numpy, Konstgjort neuralt nätverk i Python, Bildbehandling i Python, OpenCV, Pybrain, Matplotlib, Scikit-Learn , Pandas...
Computer, data mining, Deep Learning
1. Study the company 2. Understand how the company makes money 3. Dress slightly above how you expect the company dresses 4. Practice interviewing (have someone else quiz you) and be able to answer why you would be a good fit at that company 5. Have questions ready...
Computer, image processing, MATLAB, MATLAB code
function [yi, ypi] = sincdint(x, y, xi, c) % SINCDINT 1-D piecewise discrete sinc interpolation % SINCDINT(X,Y,XI,C) interpolates to find YI, the values of the % underlying function Y at the points in the array XI, using % piecewise discrete sinc interpolation. X and...
Computer, image processing
This section details the use of the Fire-i program to control the NAVITAR scope for capturing images and movies to use with the line tracking program or for imaging purposes. 1. Connect the Firewire cable to the NAVITAR scope. 2. Open Fire-i . 3. Ensure the settings...
Communication, Computer, data mining
Cascading Failures Introduction The complex structure and wide interconnections of power grids make them vulnerable to disturbances such as faults, loss of transmission lines (TLs), etc. This complexity makes the control strategies more sophisticated and costly in...
Computer, data mining, database of image, image processing, Medicine
Accelerating Parallel Image Reconstruction Using Random Projection Prologue Random projection has been used for data dimension reduction . The concept of random projection is related to compressed sensing , a topic that has attracted many attentions recently. By...
Computer, data mining, database of image, image processing, Medicine
Compressed Sensing MRI Parallel imaging has led to revolutionary progress in the field of rapid MRI in the past two decades. However, as discussed in the previous section, the maximum acceleration that can be achieved in parallel imaging is limited by the number and...
Computer, data mining, database of image, image processing, Medicine
The Need for Speed in MRI MR imaging speed is of critical importance in many clinical applications. However, the imaging speed with which gradient-encoded MR images can be acquired is fundamentally limited by the sequential nature of gradient-based MR acquisitions, in...
Computer, data mining, database of image, image processing, Medicine
MR Image Reconstruction As shown in Eq. (2.11), MR signal from a two-dimensional plane is a spatial integration of the spin density against the sinusoidal spatial modulation generated by encoding gradients. In other words, the MR signal comprises projections of the...