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Activity recognition in a smart home using local feature weighting and variants of nearest-neighbors classifiers
Recognition of activities, such as preparing meal or watching TV, performed by a smart home resident, can promote the independent living of elderly...
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Evaluation of cabin energy consumption based on combination weighting and grey fuzzy comprehensive model
Painting is the largest energy consumption unit in ship repair enterprises, with annual electrical energy costs amounting to millions of dollars. The...
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Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks
The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
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Diagnosis and Localization of COVID-19 Using Deep Transfer Learning and Model Weighting
In this paper, we present a novel approach to diagnose and localize COVID-19 using CT and X-ray images, which is based on deep transfer learning. The...
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Feature-based deformation for flow visualization
We present an approach that supports the analysis of flow dynamics in the neighborhood of curved line-type features, such as vortex core lines,...
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A novel learning method for feature evolvable streams
Recently, many researchers have focused on a novel type of data stream known as a feature evolvable stream, wherein the existing features may become...
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Algorithms to estimate Shapley value feature attributions
Feature attributions based on the Shapley value are popular for explaining machine learning models. However, their estimation is complex from both...
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K-Means algorithm based on multi-feature-induced order
The K-Means algorithm is a powerful tool for data analysis, but it faces several challenges when dealing with large multi-feature data. Centroid...
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Multi-Scene Smoke Detection Based on Multi-Feature Extraction Method
This study proposes a multi-scene smoke detection algorithm based on a multi-feature extraction method to address the problems of varying smoke...
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Joint weighted knowledge distillation and multi-scale feature distillation for long-tailed recognition
Data in the natural open world tends to follow a long-tailed class distribution, leading deep models trained on such datasets to frequently exhibit...
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Hybrid feature selection method for predicting software defect
To address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method...
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Sparse Representation Algorithm Based on Block LBP and Adaptive Weighting
To solve the problem of low recognition rate caused by occlusion, illumination and pose change in face image, a sparse representation algorithm based...
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Gastric polyp detection module based on improved attentional feature fusion
Gastric cancer is a deadly disease and gastric polyps are at high risk of becoming cancerous. Therefore, the timely detection of gastric polyp is of...
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Dimension-divided feature smoothing for graph neural network
Graph Neural Networks(GNNs) learn the node representation of multi-hops through stacking layers. However, deep GNNs often suffer from over-smoothing,...
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A single-frame infrared small target detection method based on joint feature guidance
Single-frame infrared small target detection is affected by the low image resolution and small target size, and is prone to the problems of small...
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Feature selection on quantum computers
In machine learning, fewer features reduce model complexity. Carefully assessing the influence of each input feature on the model quality is...
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Combining transformer global and local feature extraction for object detection
Convolutional neural network (CNN)-based object detectors perform excellently but lack global feature extraction and cannot establish global...
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Comparing Weighting Algorithms for Anthropometric Datasets to Enable the Generation of Representative Digital Human Models
Digital human models (DHM) can support the virtual ergonomic design and evaluation of products and work systems, but in order to obtain meaningful...
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Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion
The prevalence of online misinformation, termed “fake news”, has exponentially escalated in recent years. These deceptive information, often rich...
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Fuzzy Markov chain latent space probabilistic decision-making for feature optimization in content-based image recognition
Content-Based Image Retrieval (CBIR) systems use a group of preset and predefined parameters for their configuration. However, in machine learning...
