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    I...who has read and can explain key passages and code examples taken from McElreath's Statistical Rethinking, Murphy's Machine Learning a Probabilistic Approach and Rasmussen's Gaussian Processes. I want to interact asynchronously (not through videoconferences), so I'd like to find someone who can provide written answers to questions I send by email.

    €34 / hr (Avg Bid)
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    10 offres

    I need help generating a test set for x with the use of cholesky factorization Need help with python coding with a 2-D vector x and a sample of Gaussian distribution

    €225 (Avg Bid)
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    7 offres

    I need a R code for the so called Hamil...example is described in Section 5.3.3.4, or from pages 130 to 132, and uses the HMC algorithm to sample from a target distribution that is a 100- dimensional multivariate Gaussian distribution in which the variables are independent, with means of zero, and standard deviations of 0.01, 0.02, . . . , 0.99, 1.00.

    €45 / hr (Avg Bid)
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    15 offres

    MATLAB code of Gaussian Beam integrated with Genitalized Mie theory (GLMT)is needed to calculate the Intensity of Non Spherical Particle. Project cost 20 USD. Time 3 days.

    €15 (Avg Bid)
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    8 offres

    Criterion : The freelancer should have vast knowledge on light scattering and the various types of light source like continuous laser beam , Gaussian beam, LIDAR scattering, Mie Theory, GLMT theory, Maxwell equation, T- matrix theory, GA or Swarm optimization algorithm, inverse estimation etc. The algorithm and MATLAB expert must have strong background

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    9 offres

    ...filters in real time, and then rebroadcast to other servers using RTMP. I also want the modified video to me used as a Virtual Web Cam. The filters I want to apply are Selective Gaussian Blur and Waifu2X . Both filters must be very fast, if necessary they can use the GPUs. I was planning of using ffmpeg, Frei0r and nginx, but any other program could be used

    €184 (Avg Bid)
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    2 offres

    ...test image (different from the training images) is used with no added noise. 2- The Gaussian noise is synthesized into to the test images and the result noisy images are used for testing. 3- The salt and pepper noise is added to the test images similar to the Gaussian noise.  B. Second experiment: In the second experiment, Only Five images per person

    €232 (Avg Bid)
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    17 offres

    Looking for a programmer for running a simulation for sound propagation over a fl...frequency-dependent. The problem is 2-dimensional. The calculations are to be preferably done by the FDTD, otherwise using some SW like the k-wave of Matlab (or similar e.g. FEMLAB). Simulations are to be compared with calculations made using some theoretical approach.

    €126 (Avg Bid)
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    ...systems with different Power Azimuth Spectrum (PAS) models ,namely uniform, truncated Gaussian and truncated Laplacian , I need to evaluate the capacity for each of them. firstly we should derives the correlation coefficient between antenna elements as a function of their spacing, the Power Azimuth Spectrum (PAS), the Azimuth Spread (AS) and the mean

    €189 (Avg Bid)
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    13 offres

    ...systems with different Power Azimuth Spectrum (PAS) models ,namely uniform, truncated Gaussian and truncated Laplacian , I need to evaluate the capacity for each of them. firstly we should derives the correlation coefficient between antenna elements as a function of their spacing, the Power Azimuth Spectrum (PAS), the Azimuth Spread (AS) and the mean

    €178 (Avg Bid)
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    6 offres

    If you know matrixis in math, i have problem for you.

    €20 (Avg Bid)
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    6 offres

    Hi Actually, I would like to read a series of data from excel then I want to apply a Gaussian smoothing filter to them. finally, I need to extract the peaks and their start time and end time to excel files. I have the peak detection script, just you need to make a script to read from excel file find the start and end time of the peaks and make an export

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    20 offres

    ...test image (different from the training images) is used with no added noise. 2- The Gaussian noise is synthesized into to the test images and the result noisy images are used for testing. 3- The salt and pepper noise is added to the test images similar to the Gaussian noise.  B. Second experiment: In the second experiment, Only Five images per person

    €125 (Avg Bid)
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    17 offres

    To implement Naive bayes, Decision trees, svm, k-means and Gaussian mixture models algorithms on 2 datasets without using inbuilt functions in R language and finally calculate accuracy, sensitivity, precision for those prediction algorithms.

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    ...model - the model should be in gold. Everytime it turns I want the other side to show. Then to have a neon sign above it that says: heads or tails. With nice lighting and a gaussian blur background. I also wanted a few templates to be made for Youtube, Facebook Video, and IGTV - so that I could show what each side means if you land on it. If you look

    €166 (Avg Bid)
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    45 offres

    I have data set with and without missing value. I want to develop a code with can estimate missing values using training dataset. It is just a small project.

    €96 (Avg Bid)
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    43 offres

    ...systems with different Power Azimuth Spectrum (PAS) models ,namely uniform, truncated Gaussian and truncated Laplacian , I need to evaluate the capacity for each of them. firstly we should derives the correlation coefficient between antenna elements as a function of their spacing, the Power Azimuth Spectrum (PAS), the Azimuth Spread (AS) and the mean

    €209 (Avg Bid)
    €209 Offre moyenne
    13 offres

    To detect and classify vehicles (bikes,car and bus) from a video sample using optical flow and gaussian foreground detection. can anyone help me with that?

    €36 / hr (Avg Bid)
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    8 offres

    The project aims to cluster data patterns of the given datasets. Programming should be done using MATLAB OR PYTHON (MATLAB preferred). Step 1- Read the excel data given Step 2- Cluster the data Step 3- Return the partitioned data and measure the accuracy and reliability of your results. Analyze the results and measure the clustering error.

    €170 (Avg Bid)
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    30 offres

    The project aims to cluster data patterns of the given datasets. Programming should be done using MATLAB OR PYTHON (MATLAB preferred). Step 1- Read the excel data given Step 2- Cluster the data Step 3- Return the partitioned data and measure the accuracy and reliability of your results. Analyze the results and measure the clustering error.

    €276 (Avg Bid)
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    23 offres

    I am doing background subtraction using type 2 fuzzy Gaussian mixture model.. Following are the steps: [login to view URL] acquisition 2. Background modelling using type 2 fuzzy sets [login to view URL] using Expectation Maximization algo [login to view URL] detection [login to view URL] maintenance

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    Need a developer to recreate Microsoft's Acrylic Brush (curren...material for 3D objects in Unity. Details are here: [login to view URL] Acrylic material consists of Gaussian Blur, Exclusion Blend, Colored/ Tint Overlay and Noise Texture. Message me if you need more details.

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    1.) 47 images of scissors, thinning shears, nail cutters and knives to be cropped and set on white background. 2.) Copy Layer 1 (cropped image) and duplicate, apply Gaussian Blur (4.4 Pixels) and set to back layer. Move Layer #2 to create the appearance of a shadow. 3.) Save files as *.psd ORIGINAL IMAGES: [login to view URL]

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    ...variances, then use parametric classification to estimate the discriminant points. Compare these with the theoretical values. 2- Assume a linear model and then add 0-mean Gaussian noise to generate a sample. Divide your sample into two as training and validation sets. Use linear regression using the training half. Compute error on the validation set

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    ...[login to view URL]) 7) randomly place the rotated & scaled license plate image into the background image 8) apply the following types of noise on the resulting image: a) Gaussian blur, Poisson noise b) motion blur c) resolution blur (pixelation) d) lighting adjustment (saturation, gamma, contrast) e) [bonus] mist, rain, rain droplets on windshield

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    A gaussian blur and thresholded image difference in C++. More details and code to be provided.

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    Want to compare 2 images for differences, already have most of the code working, just not gaussian. Existing code will be provided and more details.

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    Please see the problem below: [login to view URL]

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    ...make it?) 3- Execute Gauss on your data files (Gauss is the Haskell code that I have attached) 4- Write Haskell code that implements the solver step (The solving step in Gaussian elimination uses back substitution to solve for the values X in order Xn-1, Xn-2, ……..,X0.) (gaussianSolve :: RMatrix -> [Double]) Please if you finished, explain the

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    I'm looking to duplicate some basic images using Python 3. I would like to design and test machine learning models on various synthetic sample distributions (Uniform, Gaussian, Cauchy distributions).

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    Consider the normal (or Gaussian) probability distribution: p(x ) = 1 p 22 e

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    ...text font ) • Produce mark-up (text enclosed by rectangles) for verification by user • Text Enhancement • Identify level of blur • Identify font size • Perform presets (Gaussian blurring/un-sharp mask/threshold/level) Task 3: Image Sizing & Colorspace Mapping • Use a set of rules on the input image resolution and identified text to interpolate

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    I need you to develop some software for me. I would like this software to be developed . I want to do project in data mining Granular computing Gaussian mixtures Chameleon clustering Affinity propagation Birch Mean shift clustering K means clustering Which one of these is easiest and affordable?

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    using C programmin language an IDE: open CV3.0 The image is scanned first then using various algorithms we have to perform brightness,contrast,gaussian filter,border,etc features and check its performance after applying these features. I wanted to have 10 features like this.

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    ...samples of the random number input to the app and a third file with an example of the intercorrelations required: 1. The file [login to view URL] contains 2,000 lines of gaussian random numbers for 5 variables 2. The file [login to view URL] contains 2,000 lines of uniformly distributed random numbers for 5 variables 3. The file [login to view URL]

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    I need someone who knows how to work on gaussian noise using Matlab

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    Python 3.5 - 3x3 and 3x5 Gaussian Filter. Takes image applies filter and displays output.

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    ...receiver, and AWGN. The noise level of the AWGN is given in dB. Channel effect with carrier offset with maximum Doppler shift of 10KHz, timing offset, and additive white Gaussian noise (AWGN). *The Receiver: Implement a series of components at the receiver, including timing recovery, carrier frequency recovery, channel equalization, and demodulation

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    The idea of the recognition can be developed with Gaussian based Multi stream Hidden Markovian model and the extension of the work will be developing the accuracy prediction of the Arabic handwritten recognition and the accuracy of the model will be developed based on the improvement of the research.

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    COMPLETELY LOST IN AI COURSE ---> Need help with an assig...Looking for help on [login to view URL] on all areas except return_your_name() and bonus(points_array, means_array). Ability to work in numpy, understanding of clustering and gaussian mixture models necessary. See attached for details. Will share complete project with selected bidder.

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    ...how to put it in words, because i'm more of a technical trader. But i want to be able to use AI to predict next-candle from as lower as a 5-minute time-frame. Maybe using gaussian process models or anyone that's better. But it has to be based in Python because i want it to be something that can be Machine-learned. There are 21 currency pairs and

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    ...completed within a day. The sooner the better. For this project create a java program that will solve a system of linear equations using the scaled partial pivoting method of Gaussian Elimination. Here are the steps the program should follow... -Ask for the number of linear equations that must be solved. For this it should be less than or equal to 10.

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    A project that requires a basic function for DFT (Forward transform, inverse transform, discrete cosine transform and magnitude) and Frequency Filtering (ideal low pass. ideal high pass, butterworth low pass, butterworth high pass, gaussian low pass, gaussian high pass)

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    ...two linear methods (one Exact and one Iterative method) from the following linear methods 1. Exact methods a. Gauss-Jordan Elimination Method b. Matrix Inverse Method c. Gaussian Elimination Method 2. Iterative (Numerical) Methods a. Gauss-Seidel Method b. Successive Relaxation (SR) Method The program must help in solving one of the Electrical

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    ...simply check the consistency between two measurements based on random data sets. Specifically, you will need to 1. generate a random dataset of two-attribute instances in Gaussian distribution 2. build the covariance matrix Σ 3. set counter = 0 4. for each instance, (a) Compute the nearest neighbor using Euclidean distance (b) Compute the nearest

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    I am looking for someone to code a simple Matlab algorithm with example that for cluster ing an unlabelled gaussian mixture model using EM (expectation maximisation). If an unlabelled mixture of two gaussians are provided. The code needs to be used to initiate the latent variables and in turn identify and cluster the real features of the mixture;

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    ... Then determine the Newton’s interpolation polynomial of degree 3. Using the polynomial determine the value of y at x = 4 3. Numerically integrate the following function: with no of intervals, n = 4 using both (a) Trapezoid rule and (b) Simpson’s 1/3rd rule. What would be the %age error of the numerical solution as compared to the analytical

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    4 offres