Results 1 to 10 of about 310,518 (314)
On the Bayes fusion of visual features [PDF]
Image and Vision Computing, 2007 We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the results of different classifiers (one classifier per feature). This is the general form of the so-called ''naive Bayes'' approach.
Xiaojin Shi, Roberto Manduchi
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Remote Sensing, 2023 Multi-modality three-dimensional (3D) object detection is a crucial technology for the safe and effective operation of environment perception systems in autonomous driving.
Wei He +3 more
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Model Selection of Hybrid Feature Fusion for Coffee Leaf Disease Classification
IEEE Access, 2023 Coffee leaf diseases can significantly impact the productivity and quality of the crops. Accurate and timely identification of these diseases is crucial for effective management and control.
Muhamad Faisal +2 more
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Lightweight Network DCR-YOLO for Surface Defect Detection on Printed Circuit Boards
Sensors, 2023 To resolve the problems associated with the small target presented by printed circuit board surface defects and the low detection accuracy of these defects, the printed circuit board surface-defect detection network DCR-YOLO is designed to meet the ...
Yuanyuan Jiang, Mengnan Cai, Dong Zhang
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, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
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Inexpensive fusion methods for enhancing feature detection [PDF]
, 2007 Recent successful approaches to high-level feature detection in image and video data have treated the problem as a pattern classification task. These typically leverage the techniques learned from statistical machine learning, coupled with ensemble ...
O'Connor, Noel E. +8 more
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A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals
Frontiers in Neuroscience, 2023 Emotion recognition is a challenging task, and the use of multimodal fusion methods for emotion recognition has become a trend. Fusion vectors can provide a more comprehensive representation of changes in the subject's emotional state, leading to more ...
Baole Fu +10 more
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Fusion of dynamic and static features for gait recognition over time [PDF]
, 2005 Gait recognition aims to identify people at a distance based on the way they walk. This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e.
Veres, Galina V +7 more
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Feature-level fusion vs. single-modality classifiers (%).
, 2022 Feature-level fusion vs. single-modality classifiers (%).
Usman Alhaji Abdurrahman (12557618) +2 more
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Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion
South African Computer Journal, 2017 The feature level, unlike the match score level, lacks multi-modal fusion guidelines. This work demonstrates a new approach for improved image-based biometric feature-fusion.
Dane Brown, Karen Bradshaw
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