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Found 2 papers, 1 papers with code
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA
The proposed model-based CF approach is able to efficiently process the MovieLens data with 20M ratings and exhibits more than 10X speedup over the regularized matrix factorization based approach [2] and the fast singular value thresholding approach [3] with comparable or better accuracy.
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
The proposed EM approach is based on the collaborative filtering among the annotated and unannotated datasets.
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