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    I'm looking to create a WebGL/[login to view URL] implementation of a PCA model that we've generated to morph the model to be larger/smaller for a specified set of vertices being linearly transformed/morphed using sliders, very similar to what this example implementation does: [login to view URL] This example uses bones

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    ...Si:CNT:LNO mixtures(total sum of 3 components is 100% i.e 1). the data has been repeated for different number of times i.e. each mixture is repeated 3 -4 times. I need help doing the PCA for capacity at each cycle and the mixture ratio. Also please find a figure attached to illustrate the data I am talking of. THere are 2 capacities D and C. Each of them needs

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    Need PCA for the similar data to what is attached in the graph within 12 hrs. I have the data of cycle numbers vs capacity data at various mixture ratios (80:10, 65:25 and so on) repeated for different number of times. This can be seen in the plot below as an example. First of all do u think u can conduct some kind of PCA if I give you the data for

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    I need someone who is good with PCA to help me on a task which is due in 12 hours. Only experts should bid. Thanks

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    Maybe some of you know the great tools called PCA and t-SNE for dimensionality reduction. Some new advancements was made recently. I new tool called UMAP is quite nice and perform pretty well. Is that a good idea to preprocess the training data, apply dimensionality reduction, learn a mapping to a lower dimensional space, and train the network on

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    I need to do a PCA analysis and need to create 2d and 3d figures. Will send more details

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    classification : NN, K-NN, SVM, MLP, Bayes, K-mean Clustering : K-mean , fuzzy K-mean Feature section : PCA, LDA,ICA or other techniques on Machine Learning

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    Implement KNN with Pyspark and PCA

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    ...folder has 10 face images of (person 1), 6 for training and 4 for testing. 2- The system should be built with one of these following techniques: -Principal Component Analysis (PCA) -Linear Discriminant Analysis (LDA) -Elastic Bunch Graph Matching (EBGM) 3- The codes should be running after the implementation as follow: -After the system is built in MAT

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    *the system must work in matlab. *using two of these techniques to build the system: (Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Elastic Bunch Graph Matching (EBGM *using ATT data base. (OR any other data base) and it should be consisted of no more than 10 people, each person have 10 images (total is 100) *make document

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    Hi, I need a project for face recognition for beining using Principal Characteristics Analysis, Support Vector Machine and K-Nearest Neighbors. The classification score should be evaluated on test lot (number of images classified correct/number of images classified tested). The used databese is attached. There are ten different images of each of 40 distinct subjects. For some subjects, th...

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    I will use CNN , PCA and classifier to classify some images in addition, I will use transfer learning. I have already CNN code, the pertained model and the classifier separately. I need someone to help me to implement attached tasks The project will be done in my pc (you can login remotely) so I can see the steps and get knowledge. I need this

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    I will use CNN , PCA and classifier to classify some images in addition, I will use transfer learning. I have already CNN code, the pertained model and the classifier separately. I need someone to help me to implement attached tasks The project will be done in my pc (you can login remotely) so I can see the steps and get knowledge. I need this

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    -The project objectives is to analyze the crimes that occurred in Lose Angeles in 2010 and what were the areas that had the highest crime rate. Also...data: the data has over 1 million rows but the analysis should be done using 75,000 rows. -Methods of the analysis that must be used: Decision trees, Regression Analysis, PCA to reduce dimensionality.

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    ...transfer SAS data into CSV data Do feature extraction (backward elimination, OR forward selection, OR bidirectional elimination, OR score comparison) Or Feature extraction (PCA, LDA Identify if the data is imbalanced, handle it Declare all the preprocessing steps Perform the classification using Naïve Bayesian Classifier (BC), Bayesian Network

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    The data is in a .csv file as a matrix with 26 rows and 110 columns. I want to find correlations in the data by using PCA and further on to use a machine learning algorithm in Matlab to be able to predict future data. The job is not difficult, however I need it quickly and I would also like to understand exactly how you did it.

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    ...Accounting and bank Accounts. • Proficient in CO Modules Cost Element Accounting (CO-CEA), Cost Center Accounting (CO-CCA), Internal Orders (IO) Profit Center Accounting (CO-PCA). • Good experience in writing functional specifications and working with the technical team for developing reports and interfaces. • Have experience in LSMW, Report Painter

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    ...run a principle component analysis on all 3 indicators to be able to choose a single proxy for financial market development. Is there anyway someone could help me run the PCA on my available data? and interpret the result ? This would a constitute the start of my analysis as I need in a second step to run a regression on the Economic development

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    We are looking for a designed logo for Princeton Climate Analytics (PCA). The logo should have the abbreviated name and should also include an icon element that suggests water or the earth or planet and data. The company works on hydroclimatology remote sensing and provides state of the art data sources and analytical models for weather and climate

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    I need some Matlab codes for my project

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    I need a logo designed. I own a service company called “OneUnited Care Services Inc. “ - right now we provide service to the elderly whether it may be transportation or pca or laundry - etc etc I want a logo that indicate that we all one - a logo with “equality as symbol” like coexist logo... I love the symbol in this [login to view URL]

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    I need a logo designed. I own a service company called “OneUnited Care Services Inc. “ - right now we provide service to the elderly whether it may be transportation or pca or laundry - etc etc I want a logo that indicate that we all one - a logo with “equality as symbol” like coexist logo... I love the symbol in this [login to view URL]

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    the programmer should be proficient at following topics decision tree and random forest singular value decomposition PCA text analytics

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    Objectives: In this laboratory exercise, you are given 20 face images, which are used as training samples for PCA. You are required to produce the eigenfaces of the training samples, which are then used to form an eigenspace for face representation and recognition based on 4 testing images (2 face images and 2 non- face images). Through this

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    ...increasing complexity of breaking it up makes it an interesting problem to solve. Specifically, we wish to attempt distributed algorithms using Principal Component Analysis (PCA) which has become a popular method for feature extraction of hyperspectral remote sensing image. We aim to find performance increases by programming for multiple nodes in a cluster

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    Hi there, I need some one to explain to me C# sharp with Principal component analysis (PCA) codes in a software in 1-2 hours , this software is a small project using face recognition to log in the system . I have basic knowledge in programming and 1-2 hours will be enough to understand the whole project

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    ...(SVM) Clustering[hide] BIRCH CURE Hierarchical k-means Expectation–maximization (EM) DBSCAN OPTICS Mean-shift Dimensionality reduction[hide] Factor analysis CCA ICA LDA NMF PCA t-SNE Structured prediction[hide] Graphical models (Bayes net, CRF, HMM) Anomaly detection[hide] k-NN Local outlier factor Neural nets[hide] Autoencoder Deep learning Multilayer

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    Relevant 7 - 10 years of consulting experience in SAP FICO mo...(SAP-PSM). Ability in implementation, configuration of Cost Element Accounting(CO-OM-CEA), Cost Centre Accounting(CO-OM-CCA), Internal Order(CO-OM-IO), Profit Center accounting(CO-PCA),Product costing(CO-PC) and COPA. Exposure to FSCM Module (Biller Direct and Dispute Management).

    SAP
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    please check the project details I need you to follow latest techniques PCA image it should be before classification ,, yes?? just I want to pay attention about preprocessing I hope you consider it before implement PCA And if it possible would you give me briefly which methods you will implement I will send each band or image alone for each

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    Hi I need your help in Matlab are you aware about PCA

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    ...recognizes gestures by calculating the similarity between the extracted CSI pattern and the pre- constructed gesture profiles. Our project identifies gesture using two methods: PCA and Eigen vectors. It then compares the performance using both the methods. I will give more details on both methods when we talk. P.S. - The project DOES NOT use multi-path

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    All details of the images are in the link As well , PCA image it should be before classification ,, yes?? just I want to pay attention about preprocessing I hope you consider it before implement PCA And if it possible would you give me briefly which methods you will implement I will send each band or image alone for each Landsat if you have problem

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    All details of the images are in the link As well , PCA image it should be before classification ,, yes?? just I want to pay attention about preprocessing I hope you consider it before implement PCA And if it possible would you give me briefly which methods you will implement I will send each band or image alone for each Landsat if you have

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    Matlab code deal with the data set to builds models by using the p-values in the statistical tests and PCA on selected features to minimize their correlations AND USE THE classification: Random forest &Support vector machine & Deep neural network.

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    ...status of CpG islands, the procedure as : * feature extraction the DNA dinucleotide and test the features to select the most effective by using the statistical test and the PCA . * using the classification algorithms(RF&SVM&DEEP NETWORK) to prediction (methylated or Unmethylated) * finally test the Performances of the classifier model by ( SP& SE&

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    Dimension Reduction using PCA in Java for dataset in EXCEL file.

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    I have already completed the project but the results are not as ex...device (laptop or router), it then removes environmental noise from CSI using Wavelet based denoising. It then identifies Principal components from the CSI using Matlab command "pca" EKA "princomp". Finally, it compares the gestures with predefined gestures using Euclidean distance.

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    Need someone to code only 3 problems related to AI topics of SVM , NN and PCA. Must be able to do in fix budget and time (details will be Inboxed) Python / Matlab prefered for code but no complusion .

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    3 small question about PCA, SVM, PAGERANK

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    ...by applying the ORB (Oriented FASTand Rotated BRIEF) method as an extraction feature, which can make the input image resistant to rotational changes, lighting, etc. Then the PCA method is needed to reduce the dimensions of the features generated by ORB, then classified using the K-Nearest Neighbors method. The end result of this method is the image of

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    ...by applying the ORB (Oriented FASTand Rotated BRIEF) method as an extraction feature, which can make the input image resistant to rotational changes, lighting, etc. Then the PCA method is needed to reduce the dimensions of the features generated by ORB, then classified using the K-Nearest Neighbors method. The end result of this method is the image of

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    Exploratory Data Analysis(EDA) and data cleaning. Using SVM, Naive-Bayes, decision trees, regression PCA to analysis.

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    The projectis is on machine learning k means and PCA concepts

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    ...by applying the ORB (Oriented FASTand Rotated BRIEF) method as an extraction feature, which can make the input image resistant to rotational changes, lighting, etc. Then the PCA method is needed to reduce the dimensions of the features generated by ORB, then classified using the K-Nearest Neighbors method. The end result of this method is the image of

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    Finding features of remote sensing data by using PCA and then post classification and pixel clustering

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    ...by applying the ORB (Oriented FASTand Rotated BRIEF) method as an extraction feature, which can make the input image resistant to rotational changes, lighting, etc. Then the PCA method is needed to reduce the dimensions of the features generated by ORB, then classified using the K-Nearest Neighbors method. The end result of this method is the image of

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    ...analysis include: Crosstabs Covariance Correlation Advanced techniques include: Cluster analysis Analysis of variance (ANOVA) Factor analysis Principal component analysis (PCA)          Clusterize          divide target value in different models Regressinon Logestic regressinon multinomial lo...

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    LDA and PCA for a centain group of data in python. Need good skill for data analysis in python. Have knowledge of some good LDA and PCA libraries.

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