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 Cosine Similarity Measure 

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In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal for a shorter, known feature. It also has applications in pattern recognition, single particle analysis, electron tomographic averaging, cryptanalysis, and neurophysiology.

This classifier is based on the idea that first we create ideal vectors from each class. In this implementation mean vectors are used. Then, it uses similarity measure to calculate similarities between samples and idealvectors and class of the...

Content-based image retrieval is the task of searching images in databases by analyzing the image contents. In this demo, a simple image retrieval method is presented, based on the color distribution of the images. The user simply provides an...

Function calculates cosine cross-similarity between time series of threshold crossings with time lags. It also calculates dominant lag and maximum value.

More details

The Frechet distance is a measure of similarity between two curves, P and Q. It is defined as the minimum cord-length sufficient to join a point traveling forward along P and one traveling forward along Q, although the rate of travel for either...

six different DCT (Discrete Cosine Transform based image fusion techniques are presented
Image fusion using DCT based demo programme is presented.

Segmentation by growing a region from user defined seed point, using intensity mean measure.
Simple and efficient (only one loop) example of "Region Growing" algorithm from a single seed point.

The region is iteratively...

Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure
Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure

This module allows the administrator to create a wide ranging set of similarity calculations. It can out of the box, calculate similar nodes of a specific type using the search index, taxonomy terms and node title. These similarities are...

JUnitConv is an universal Units of Measure Converter built as a Java Applet, it supports an unlimited number of Units Categories, Units of Measure and Multiplier Prefixes that could be customized using external text files. The default...

JUnitConvert - Units of Measure Converter is multi-platform compatible. JUnitConv is an universal Units of Measure Converter built as a Java Applet, it supports an unlimited number of Units Categories, Units of Measure and Multiplier Prefixes that...

Fresnel sine and cosine integrals should be done with quadl matlab function.

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded...

Computes Direction Cosine Matrix from Euler angles (in radians) for six basic sequence of rotations around X(Roll),Y(Pitch) and Z(Yaw) axis.

Allowed rotations sequences:
xyz, xzy, yxz, yzx, zxy, zyx
rpy, ryp, pry, pyr,...

Function calculates window cross-similarity between time series of threshold crossings for selected window span. Correlation between high temporal resolution records aggregated over time for records of original resolution.


Take an image and measure holes in it. Generate a distribution.

This program outputs a graphical & numerical image quality measure based on Singular Value Decomposition.

For the given images, Blockwise SVD is taken and image quality measure is derived.

For details on the...

M Published file explain cordic algorithm with a function to get trigonometrics function Sine and Cosine.

The same work was presented using Simulink, those works complement each other.

This function calculates the fresnel cosine and sine integrals.Input:

y = values for which fresnel integrals have to be evaluated

FresnelC = fresnel cosine integral of y
FresnelS = fresnel sine integral of...

The m-file provides a tool to calculate the Bhattacharyya Distance Measure (BDM) between two classes of normal distributed data. The BDM is widely used in Pattern Recognition as a criterion for Feature Selection.

Directly calculation...