visual-classification

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ashish-code / FuzzyVisualEncoding

Fuzzy visual encoding using Gustafson-Kessel and Gath-Geva clustering. Learns adaptive covariance matrices per cluster for soft SIFT descriptor assignment. Outperforms k-means BOF on Caltech and VOC benchmarks. Published at ICIP 2012.

python computer-vision scikit-learn image-recognition sift fuzzy-clustering gustafson-kessel bag-of-features visual-classification

Updated Aug 1, 2026
Python

Prometheussx / Sign-Language-Classification-Tutorial

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This project utilizes logistic regression to classify numbers 0 and 1 using sign language gestures. It successfully achieves the task of sign language classification, reaching a test accuracy of 93.54%.

data-science machine-learning tutorial tutorials artificial-intelligence image-analysis data-processing machine-learning-tutorial number-classification sign-language-classification logistic-regression-project visual-classification learning-and-prediction

Updated Oct 22, 2023
Jupyter Notebook

ashish-code / image-feature-subspace-projection

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Subspace projection methods (PCA, SPCA, SSPCA, KernelPCA, Isomap) for visual classification. Structured Sparse PCA with co-clustering outperforms baselines on VOC and Caltech benchmarks. Published at BigMM 2017.

python computer-vision scikit-learn pca dimensionality-reduction bag-of-words manifold-learning sparse-pca visual-classification structured-sparse-pca

Updated Aug 1, 2026
Python

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