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Found 6 papers, 0 papers with code
Supervised Class-pairwise NMF for Data Representation and Classification
The objective of this work is to design an evolutionary framework to learn the hyper-parameter of the parameterized NMF and estimate the factorizing matrices in a supervised way to be more suitable for classification problems.
Non-Negative Matrix Factorization with Scale Data Structure Preservation
The model described in this paper belongs to the family of non-negative matrix factorization methods designed for data representation and dimension reduction.
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment
The proposed metric called median of unique gradients (MUG) is based on the very simple facts of unique gradient magnitudes of JPEG compressed images.
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator
Motivated by a recent work that utilizes the standard deviation pooling, a general formulation of the DP is presented in this paper and used to compute a final score from the proposed GS and CS maps.
Ranked #4 on
Image Quality Assessment
on MSU FR VQA Database
Deviation Based Pooling Strategies For Full Reference Image Quality Assessment
In this paper, we propose to use the mean absolute deviation (MAD) and show that it is a more robust and accurate pooling strategy for a wider range of IQAs.
A maximal-information color to gray conversion method for document images: Toward an optimal grayscale representation for document image binarization
A novel method to convert color/multi-spectral images to gray-level images is introduced to increase the performance of document binarization methods.
