1,290 Result(s)
within
Computer Science
Zhuo** **e
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Article
Clustering-assisted gradient-based optimizer for scheduling parallel cloud workflows with budget constraints
Cloud computing has gradually become one of the most popular platforms for executing scientific applications due to its elastic and on-demand resource provisional capabilities. But, how to effectively schedule...
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Unconditionally positivity-preserving approximations of the Aït-Sahalia type model: Explicit Milstein-type schemes
The present article aims to design and analyze efficient first-order strong schemes for a generalized Aït-Sahalia type model arising in mathematical finance and evolving in a positive domain
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Open AccessKnowledge graph embedding closed under composition
Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly import...
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual tasks. Therefore, how to quickly and efficiently process hazy...
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Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations
This paper proposes a Robust Spatial-Temporal Graph Neural Network (RSTGNN), which overcomes the limitations faced by graph-based models against dynamic graph perturbations using robust spatial-temporal self-a...
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A digital speckle stereo matching algorithm based on epipolar line correction
When the digital speckle correlation method captures images under certain working conditions, the extreme tilt of the camera leads to a weak correlation between the left and right images, which in turn makes t...
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Article
A 4D strong spatio-temporal feature learning network for behavior recognition of point cloud sequences
Although the depth map sequence widely used in behavior recognition can provide depth information. However, depth pixels are not strongly correlated with each other, and the spatio-temporal structure informati...
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A Multi-task Shared Cascade Learning for Aspect Sentiment Triplet Extraction Using BERT-MRC
The aspect sentiment triplet extraction (Triplet) aims at extracting aspect terms (AE), extracting aspect-oriented opinion terms (AOE), and discriminating aspect-level sentiment polarity (ASC) from the comment...
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Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR) remote sensing imagery. Howe...
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GaitRA: triple-branch multimodal gait recognition with larger effective receptive fields and mixed attention
Gait Recognition, as a long-distance biometric technique for identity recognition, has attracted widespread attention in recent years. Previous academia typically employs minor convolutional networks to extrac...
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An effective fault localization approach for Verilog based on enhanced contexts
The HDL research community recognizes the pivotal role of bug localization in the debugging workflow, offering substantial relief to developers. This paper introduces ContextHD, a robust bug localization metho...
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On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation
Remarkable progress has been made in self-supervised monocular depth estimation (SS-MDE) by exploring cross-view consistency, e.g., photometric consistency and 3D point cloud consistency. However, they are ver...
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The interactive effects of instructors’ guidance frequency and type on Chinese secondary school students’ learning
As an important resource in online learning, video lectures have attracted considerable research attention in the impact of teachers’ nonverbal guidance behaviors on learning. However, few studies have focused...
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Image restoration via combining a fractional order variational filter and a TGV penalty
In this paper, a novel variational model for the restoration of images contaminated with multiplicative noise (also known as speckle) is proposed. It combines a fractional-order total variational (FOTV) filter...
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Article
RaSTFormer: region-aware spatiotemporal transformer for visual homogenization recognition in short videos
With the surge in network traffic, the homogenization of short video content is becoming increasingly prominent, resulting in low-quality entertainment due to proliferation and infringement. Therefore, recogni...
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Online binary classification from similar and dissimilar data
Similar-dissimilar (SD) classification aims to train a binary classifier from only similar and dissimilar data pairs, which indicate whether two instances belong to the same class (similar) or not (dissimilar). A...
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Open AccessTwo-dimensional materials for future information technology: status and prospects
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
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SSE-YOLOv5: a real-time fault line selection method based on lightweight modules and attention models
To address the problems of low precision and poor anti-noise performance of the standard route selection method for the small current grounding faults, a fault line selection approach based on YOLOv5 network t...
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Unpaved road segmentation of UAV imagery via a global vision transformer with dilated cross window self-attention for dynamic map
Road segmentation is a fundamental task for dynamic map in unmanned aerial vehicle (UAV) path navigation. In unplanned, unknown and even damaged areas, there are usually unpaved roads with blurred edges, defor...
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Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
