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Found 6 papers, 1 papers with code
Spectrum-Aware Adjustment: A New Debiasing Framework with Applications to Principal Component Regression
This approach struggles when (i) covariates are non-Gaussian with heavy tails or asymmetric distributions, (ii) rows of the design exhibit heterogeneity or dependencies, and (iii) reliable feature covariance estimates are lacking.
Balancing Risk and Reward: An Automated Phased Release Strategy
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation.
Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process
To improve the purity of coal and prevent damage to the coal mining machine, it is necessary to identify coal and rock in underground coal mines.
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Procedural Multimodal Documents (PMDs) organize textual instructions and corresponding images step by step.
Multi-scale Sparse Representation-Based Shadow Inpainting for Retinal OCT Images
To address these challenges, we propose a novel multi-scale shadow inpainting framework for OCT images by synergically applying sparse representation and deep learning: sparse representation is used to extract features from a small amount of training images for further inpainting and to regularize the image after the multi-scale image fusion, while convolutional neural network (CNN) is employed to enhance the image quality.
Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case
Color is an essential component of graphic design, acting not only as a visual factor but also carrying cultural implications.
