Rank: 49 based on 1081 downloads (last 30 days) and 15 files submitted
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Quan Wang

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Company/University
Rensselaer Polytechnic Institute

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http://quanthu.com


 

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Files Posted by Quan Wang View all
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(last 30 days)
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13 Nov 2014 Screenshot Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang signal processing, machine learning, time series 364 12
  • 5.0
5.0 | 6 ratings
12 Nov 2014 Screenshot COSBOS: COlor-Sensor-Based Occupancy Sensing Occupancy distribution estimation for smart light delivery with perturbation-modulated light sensing Author: Quan Wang image processing, smart lighting, signal processing, linear algebra 23 0
03 Sep 2014 Screenshot Label Consistent Fisher Vectors (LCFV) LCFV is a method to add supervised information to Fisher vectors Author: Quan Wang machine learning, pattern recognition, compressed sensing, computer vision 17 0
02 Sep 2014 Screenshot Kernel PCA and Pre-Image Reconstruction standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction Author: Quan Wang signal processing, large data, dimension reduction, machine learning, pattern recognition, pca 175 10
  • 4.66667
4.7 | 7 ratings
20 May 2014 Screenshot Pair-wise Euclidean Distance Matrix Computing the distance matrix without loops Author: Quan Wang data, distance, matrix 11 1
  • 3.0
3.0 | 1 rating
Comments and Ratings by Quan Wang View all
Updated File Comments Rating
16 Nov 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang

Hi Yongqiang,

The window parameter w in function dtw(s,t,w) is the parameter that prevents big gradients.

25 Sep 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang

Hi Daniel,

You need to learn what is a MATLAB function first.

08 Sep 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang

Hi Steven du,

Yes, you are right. I forgot to update it when I extended it for multi-dimensional signals.

18 Jun 2014 Kernel PCA and Pre-Image Reconstruction standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction Author: Quan Wang

Hi Cheung,

If you compute ||a-b||, you will have to use loops. MATLAB loops are slow, and distanceMatrix avoids using loops, thus is very fast.

如果用||a-b||,就需要是用MATLAB循环,而MATLAB循环非常慢。我的distanceMatrix就是一个巧妙避免使用循环的方法,因此很快。

07 May 2014 rotateXLabels( ax, angle, varargin ) Rotate x-tick labels to any angle, preserving font settings and coping with resize, zoom, pan etc Author: Ben Tordoff

Useful

Comments and Ratings on Quan Wang's Files View all
Updated File Comment by Comments Rating
08 Dec 2014 Kernel PCA and Pre-Image Reconstruction standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction Author: Quan Wang phil

Hi, Wang!
For several reasons, I need to do the KNN classifier after reducing the dimension of training and sampling data. When the type is guassian, it seems that the eigenvector will be complex number so that KNN is invaild. How can I solve this problem? Thanks so much.

Phil

02 Dec 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang Tipu Rahaman

I am getting error as
'Maximum variable size allowed by the program is exceeded.'

for below line.

D=zeros(ns+1,nt+1)+Inf; % cache matrix
D(1,1)=0;

23 Nov 2014 Kernel PCA and Pre-Image Reconstruction standard PCA, Gaussian kernel PCA, polynomial kernel PCA, pre-image reconstruction Author: Quan Wang Yan wang

16 Nov 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang Quan Wang

Hi Yongqiang,

The window parameter w in function dtw(s,t,w) is the parameter that prevents big gradients.

14 Nov 2014 Dynamic Time Warping (DTW) This package implements Dynamic Time Warping (DTW). Author: Quan Wang Yongqiang

Hi Quan,

Could I ask you a question? I just want to confirm with you, so that I correctly understand what is written in your file. You didn't implement the slope constraint (the one that prevents too much or too little gradient, namely the fifth condition in Sakoe & Chiba 1978), did you?

Sakoe & Chiba 1978: Dynamic programming algorithm optimization for spoken word recognition.

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