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StackOverflow https://stackoverflow.com/questions/35408863/multithreaded-matrix-multiplication

Multithreaded matrix multiplication

Tags: java, multithreading

StackOverflow https://stackoverflow.com/questions/77524364/gcc-cannot-optimize-away-redundant-coordinate-transformation-function-calls-even

GCC Cannot Optimize Away Redundant Coordinate Transformation Function Calls Even If Marked as "Pure" in Custom ND-Array Classes

Tags: c++, gcc, compiler-optimization

StackOverflow https://stackoverflow.com/questions/5939630/best-way-of-looping-over-a-2-d-array-using-repa

Best way of "looping over a 2-D array", using Repa

Tags: arrays, performance, haskell, profiling, repa

StackOverflow https://stackoverflow.com/questions/11784903/specific-query-regarding-terminology-used-in-relation-to-kernel-function-and-sup

Specific query regarding terminology used in relation to kernel function and support vector machines

Tags: mapping, kernel, machine-learning, svm

StackOverflow https://stackoverflow.com/questions/8505528/mapping-color-space-in-html

Mapping Color Space in HTML

Tags: javascript, html, css, canvas, svg

StackOverflow https://stackoverflow.com/questions/15366154/multithreading-a-file-map-into-an-array-of-buffers

Multithreading a File Map into an Array of Buffers

Tags: c++, multithreading, winapi, buffer

StackOverflow https://stackoverflow.com/questions/75385861/how-does-a-trained-svr-model-predict-values

How does a trained SVR model predict values?

Tags: svm, predict

StackOverflow https://stackoverflow.com/questions/14921347/recognizing-similar-shapes-at-random-scale-and-translation

Recognizing similar shapes at random scale and translation

Tags: opencv, image-processing, computer-vision, fft, image-recognition

StackOverflow https://stackoverflow.com/questions/79891738/why-are-there-so-few-open-source-c-libraries-for-extracting-embedded-images-from

Why are there so few open-source C libraries for extracting embedded images from older Excel .xls files?

Tags: python, c++, c, excel, xls

GitHub Repo https://github.com/ahmetcik/ML-and-LA-from-scratch

ahmetcik/ML-and-LA-from-scratch

Some machine learning (ML) methods plus related numerical linear algebra (LA) and also quadratic programming algorithms to solve the ML optimization problems, i.e. no implementation from external libraries is used except for numpy arrays and basic numpy operations on arrays, such as algebraic operations, matrix multiplication, etc. The algorithms are described in theoretical-background.pdf. Note that, neither the implementations are optimized nor are the chosen (especially LA) algorithms to solve the ML problems optimal. The considered LA algorithms are: QR-decomposition based on Gram-Schmidt proces and Housholder reflections, QR algorithm to determine eigenvalues (and vectors for symmetric matrices), singular-value decompostion, Cholesky decomposition, and forward and backward substitution. Quadratic programming is performed via the primal-dual interior-point method. The included machine-learning methods are: linear (least-squares and ridge) regression, non-negative least squares regression, orthogonal matching pursuit, kernel ridge regression, support vector machines, logistic regression, and principal component analysis.

StackOverflow https://stackoverflow.com/questions/71443095/how-to-project-a-chessboard-in-camera-coordinates-to-real-world-coordinates-in-o

How to project a chessboard in camera coordinates to real-world coordinates in OpenCV using rvecs and tvecs outputs of cv.calibrateCamera?

Tags: python, opencv, camera, camera-calibration, homography

GitHub Repo https://github.com/arnauarque/svm-implementation-ampl

arnauarque/svm-implementation-ampl

This task involves implementing the primal and dual quadratic formulations of Support Vector Machines (SVM) in AMPL, with a focus on a Soft-Margin SVM. The project includes theoretical background, code implementation, validation with generated data, and experimentation with an additional dataset.