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RSS订阅原创 RNN & Generative Model
Gaze EstimationSegment face, detect landmarks, segment eyes, and put into the algorithm to get : 3D gaze directionand 2D point regard/gazecategorized into Feature-based Appearance-based and Mode...
2018-08-26 00:58:13
439
原创 Transposed convolution & Fully Convolutional Neural Network
Given a kernel (e.g. 3×33×33\times 3 filter), we can get the sparse Toeplitz matrix CCC whose elements are are weights in kernel. We can either say this kernel defines a direct convolution whose fo...
2018-08-22 15:49:17
415
原创 [Navigation] ILS: Instrument Landing System
Definition:ILS provides lateral and vertical guidance to an aircraft approaching and landing on a runway.The aircraft is guided by the ILS receiver on the plane through performing modulation depth...
2018-08-02 14:50:04
526
原创 10-Deep Unsupervised Network
Linear Autoencoderthe optimal linear autocoder: projection to the principal subspace, is same as the result from SVDdecoder is the transpose of encoderIf the data points are too much, then SVD m...
2018-08-01 15:48:18
251
原创 [Image Interpretation] Object detection
Part-based Object Detection MethodCircle Hough TransformRadius-known case: the model parameter space is two dimensional: the coordinate of center.Procedure: discretize model parameter space a
2018-02-07 17:47:46
246
原创 [Image] Unsupervised Learning
Unsupervised Learning Motivation: Before, some assumptions we adopted: 1. a function that maps the the observed input to output; 2. a training dataset to train the parameter for t
2018-02-07 16:19:05
269
原创 [Space Geodesy] Perturbation Theory
Motivation The perturbation theory is to solve initial value problem. In other words through perturbation theory we could recover the satellite location or orbit.There are mainly two categories
2018-01-26 23:23:57
741
原创 [SG] Atmosphere
General influence of atmosphere refractionTwo velocity in atmosphere: phase and group velocity Background: a simple harmonic wave propagating in air looks like u(x,t)=A0∗sin(ωtȡ
2018-01-25 23:31:56
4258
原创 [Image Interpretation] Unsupervised Learning
Unsupervised Learning Motivation: Before, some assumptions we adopted: 1. a function that maps the the observed input to output; 2. a training dataset to train the parameter for t
2018-01-25 23:29:06
286
avi视频播放器
2014-08-28
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