35 Result(s)
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Article
Yu. Li
Computer Science
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Article
Automatic diagnosis of myopic maculopathy using continuous severity ranking labels
Clinical lesions progress continuously but previous grading strategies are not fine-grained enough to model the continuously changing features of lesions. For lack of temporal sequential medical data to provid...
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Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Mer...
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Generalizing sentence-level lipreading to unseen speakers: a two-stream end-to-end approach
Lipreading refers to translating the lip motion regarding a video speaker into the corresponding texts. Existing lipreading methods typically describe the lip motion using visual appearance variations. However...
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Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
Signal peptides (SPs) are essential to target and transfer transmembrane and secreted proteins to the correct positions. Many existing computational tools for predicting SPs disregard the extreme data imbalanc...
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Information gain based dynamic support set construction for cold-start recommendation
A fundamental challenge for recommendation systems is the cold-start problem, i.e., recommending with no or few user-item interactions. An emerging direction alleviates the problem with meta-learning. These me...
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Morphing aircraft acceleration and deceleration task morphing strategy using a reinforcement learning method
This paper proposes a design scheme for a whole morphing strategy based on the reinforcement learning (RL) method. A novel morphing aircraft is designed, and its nonlinear dynamic equations are established bas...
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Two-stage single image reflection removal with reflection-aware guidance
Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical applications. For improving reflection removal, cascaded deep models have been usu...
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Open AccessJoint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for analysing colour fundus images. In clinical practice, accurate OD and OC segmentation assist ophthalmologists in diagnosing...
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Open AccessAuthor Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
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GCGE: a package for solving large scale eigenvalue problems by parallel block dam** inverse power method
In this paper, we introduce some strategies to improve the efficiency and scalability of the generalized conjugate gradient algorithm and build a package GCGE for solving large scale eigenvalue problems. This ...
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Open AccessThe high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci
Human diseases are traditionally studied as singular, independent entities, limiting researchers’ capacity to view human illnesses as dependent states in a complex, homeostatic system. Here, using time-stamped...
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An improved spatial temporal graph convolutional network for robust skeleton-based action recognition
Skeleton-based action recognition methods using complete human skeletons have achieved remarkable performance, but the performance of these methods could significantly deteriorate when critical joints or frame...
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Semantic segmentation network with multi-path structure, attention reweighting and multi-scale encoding
Semantic segmentation is an active field of computer vision. It provides semantic information for many applications. In semantic segmentation tasks, spatial information, context information, and high-level sem...
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Delving into monocular 3D vehicle tracking: a decoupled framework and a dedicated metric
Acquiring 3D trajectories of on-road vehicles is an essential visual task for autonomous driving systems. Existing 3D vehicle tracking methods either rely on point cloud data or need to be trained on visual tr...
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Hybrid War** Fusion for Video Frame Interpolation
Video frame interpolation aims to synthesize new intermediate frames between existing ones, which is an important task in video enhancement. A classic direction in this field is flow-based which estimates moti...
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Detection of the drivable area on high-speed road via YOLACT
In intelligent driving, the detection and ranging of drivable area are key technologies in path planning. In order to realize quick and accurate detection and segmentation of drivable area, we adopt YOLACT_Res...
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The multimedia recommendation algorithm based on probability graphical model
In the multimedia big data, the demand for personalized multimedia recommendation algorithm is increasing to ease the multimedia information overload. The multimedia recommendation system has been applied in v...
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Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in the dark. Simply adjusting th...
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Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of periods of twin prime products
This paper contributes to compute the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences. Results show that the 2-adic complexity of these sequences is good enough to resist th...
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Gravitational search algorithm based on multiple adaptive constraint strategy
In order to improve the convergence speed and optimization accuracy of gravitational search algorithm, the improved gravitational algorithm with dynamically adjusting inertia weight and trend factors of speed ...
