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Found 4 papers, 4 papers with code
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction
Document image dewarping is a crucial task in computer vision with numerous practical applications.
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
Secondly, we develop a series of affinity learning methods that equip the selfexpressive framework with ℓp-norm to construct an intrinsic affinity matrix with an adaptive extension.
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction
Phylogenetic trees are essential in studying evolutionary relationships, and the Robinson-Foulds (RF) distance is a widely used metric to calculate pairwise dissimilarities between phylogenetic trees, with various applications in both the biology and computing communities.
Online Estimation of Similarity Matrices with Incomplete Data
To address this challenge, we propose matrix correction algorithms that leverage the positive semi-definiteness (PSD) of the similarity matrix to improve similarity estimation in both offline and online scenarios.
