Ujang RiswantoHarnessing Manifold Learning for Efficient Image Classification and RecognitionManifold learning is already out there in the wild, making technologies smarter, faster, and safer. It’s incredible how much it can do…Oct 6
Jimmy WeaverinTowards Data ScienceUnravelling Complexity: A Novel Approach to Manifold Learning Using Noise InjectionCovering PCA, Local Linear Embedding, Spectral Embedding and Isometric Feature MappingNov 17, 2023
Fernando LunainMCD-UNISONUMAP: An alternative dimensionality reduction techniqueUMAP, short for Uniform Manifold Approximation and Projection is a powerful dimensionality reduction technique that has gained significant…May 30, 2023May 30, 2023
Ujang RiswantoImproving Speech Recognition Accuracy through Manifold Learning TechniquesManifold learning has a lot of potential, making it work seamlessly with existing speech recognition systems is still a work in progress.Oct 3Oct 3
Salih SalihinTowards Data ScienceMachine Learning Algorithms as a Mapping Between Spaces: From SVMs to Manifold LearningExploring the Beauty of Mapping Between Spaces in SVMs, Autoencoders, and Manifold Learning (Isomaps) AlgorithmsFeb 7Feb 7
Ujang RiswantoHarnessing Manifold Learning for Efficient Image Classification and RecognitionManifold learning is already out there in the wild, making technologies smarter, faster, and safer. It’s incredible how much it can do…Oct 6
Jimmy WeaverinTowards Data ScienceUnravelling Complexity: A Novel Approach to Manifold Learning Using Noise InjectionCovering PCA, Local Linear Embedding, Spectral Embedding and Isometric Feature MappingNov 17, 2023
Fernando LunainMCD-UNISONUMAP: An alternative dimensionality reduction techniqueUMAP, short for Uniform Manifold Approximation and Projection is a powerful dimensionality reduction technique that has gained significant…May 30, 2023
Ujang RiswantoImproving Speech Recognition Accuracy through Manifold Learning TechniquesManifold learning has a lot of potential, making it work seamlessly with existing speech recognition systems is still a work in progress.Oct 3
Salih SalihinTowards Data ScienceMachine Learning Algorithms as a Mapping Between Spaces: From SVMs to Manifold LearningExploring the Beauty of Mapping Between Spaces in SVMs, Autoencoders, and Manifold Learning (Isomaps) AlgorithmsFeb 7
Ujang RiswantoWhy Manifold Learning is the Future of Image RecognitionManifold learning is a double win: it not only makes image recognition more accurate, but it also speeds up the entire process, making it a…Oct 2
RobertorussoinBIP xTechBeyond 3D: Flattening Complex Data Structures with IsomapIsomap algorithm and a brief example of its effectiveness in “unrolling” the Swiss Roll.Apr 18
Ujang RiswantoHow Manifold Learning Uncovers the True Shape of DataManifold learning is an incredibly powerful tool for making sense of complex, high-dimensional data, especially when traditional methods…Oct 1
