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Assessing the extent and persistence of major crisis events in the crude oil market and economy: evidence from the past 30 years
This study investigates the extent and persistence of major crisis events in the crude oil market and economy and searches for general rules of event...
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The impact of Russia–Ukraine war on crude oil prices: an EMC framework
As the second-largest oil producer and natural gas exporter, Russia’s war with Ukraine has severely impacted the energy market. To what extent has...
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Prototype Mixture Models for Few-Shot Semantic Segmentation
Few-shot segmentation is challenging because objects within the support and query images could significantly differ in appearance and pose. Using a...
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Pedestrian Detection with Deep Convolutional Neural Network
The problem of pedestrian detection in image and video frames has been extensively investigated in the past decade. However, the low performance in...
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Visual trajectory analysis via Replicated Softmax-based models
In this paper, we apply the Replicated Softmax model to visual trajectory representation and analysis problems. We propose to represent trajectories...
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A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems
In this paper, a belief based correlated topic model (BCTM) is proposed for the semantic region analysis of pedestrian motion patterns in the crowded...
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Robust Visual Object Tracking via Sparse Representation and Reconstruction
Visual object tracking plays an essential role in vision based applications. Most of the previous research has limitations due to the...
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Minimum Entropy Models for Laser Line Extraction
Minimum entropy model can find the optimal gray space for laser line extraction. A global model named Minimum Entropy Deconvolution is established to...
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Real-Time Multi-pedestrian Tracking Based on Vision and Depth Information Fusion
Visual object tracking plays an essential role in vision based applications. Most of the previous Multi-pedestrian Tracking has limitations due to...
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Visual Object Tracking via One-Class SVM
In this paper, we propose a new visual object tracking approach via one-class SVM (OC-SVM), inspired by the fact that OC-SVM’s support vectors can...
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Multi-posture Human Detection in Video Frames by Motion Contour Matching
In the paper, we proposed a method for moving human detection in video frames by motion contour matching. Firstly, temporal and spatial difference of...