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A Recursive Algorithm for Mining Association Rules
Mining frequent itemsets and association rules are an essential task within data mining and data analysis. In this paper, we introduce PrefRec, a...
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A recursive attention-enhanced bidirectional feature pyramid network for small object detection
Single Shot MultiBox Detector (SSD) method shows outstanding performance by using multiscale feature maps in object detection task. However, the SSD...
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DC-PSENet: a novel scene text detection method integrating double ResNet-based and changed channels recursive feature pyramid
Due to the emergence and advancement of deep learning technologies, scene text detection is becoming more widespread in various fields. However, due...
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Unbiased recursive decision tree for supervised functional data classification with applying on electrocardiogram signals
Tree-structured methods are considered one of the most powerful tools in classification and regression. Nowadays, Machine Learning for functional...
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An Unsupervised End-to-End Recursive Cascaded Parallel Network for Image Registration
Deformable image registration can align two images acquired at different times or under different conditions, and thus has important theoretical...
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Bioinspired FHE model with recursive revokable selective access control for attribute-based privacy preservation
Access control and authentication are two aspects of cyber-physical systems that improve their usability, security and accessibility. Along with...
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An Outlier-Robust Growing Local Model Network for Recursive System Identification
In this paper, we develop a self-growing variant of the local model network (LMN) for recursive dynamical system identification. The proposed model...
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Multi-food detection using a modified swin-transfomer with recursive feature pyramid network
Humans need food, and the food detection system is a fascinating research topic and a complex weight loss mechanism. Eating healthy and balanced is...
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Recursive lightweight convolutional neural networks that make noisy images purer and purer
Convolutional neural network (CNN) has shown its superpower in image denoising in recent years. However, most CNN models suffer from a large number...
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Sliced Recursive Transformer
We present a neat yet effective recursive operation on vision transformers that can improve parameter utilization without involving additional...
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Noise reduction deep CNN-based retinal fundus image enhancement using recursive histogram
Retinal imaging often falls short in image quality due to limitations in imaging conditions. Issues such as low contrast and inadequate brightness...
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Recursive inversion models for permutations
We develop a new exponential family model for permutations that can capture hierarchical structure in preferences, and that has the well known...
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Recursive training based physics-inspired neural network for electric water heater modeling
Aggregating flexibility from residential electric water heaters (EWHs) is fast gaining commercial interest. Flexibility modeling of an EWH involves...
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Recursive SQL and GPU-support for in-database machine learning
In machine learning, continuously retraining a model guarantees accurate predictions based on the latest data as training input. But to retrieve the...
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Recursive least squares method for training and pruning convolutional neural networks
Convolutional neural networks (CNNs) have shown good performance in many practical applications. However, their high computational and storage...
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Video quality enhancement using recursive deep residual learning network
Outdoor images and videos suffer from several problems, such as the hazing problem due to the particles of dust, smoke, and other particles in the...
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Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient
Deep Q-learning often suffers from poor gradient estimations with an excessive variance, resulting in unstable training and poor sampling efficiency....
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A recursive construction of doubly resolvable Steiner quadruple systems
Two resolutions of the same 3-design are said to be orthogonal when each parallel class of one resolution has at most one block in common with each...
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Performance Analysis of Classifying URL Phishing Using Recursive Feature Elimination
Phishing is a popular cyber-attack that tricks users into revealing confidential data such as login passwords or account details, on a website that...
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Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring
Process monitoring helps to estimate the quality of the end products, equipment health parameters, and operational reliability of chemical processes....
