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Moving Object Detection Method Based on the Fusion of Online Moving Window Robust Principal Component Analysis and Frame Difference Method
The accuracy of moving object detection has a great impact on the accuracy of extracting the shape center coordinates of moving workpieces. The...
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Improved Online Algorithms for Knapsack and GAP in the Random Order Model
The knapsack problem is one of the classical problems in combinatorial optimization: Given a set of items, each specified by its size and profit, the...
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Cost-sensitive sparse group online learning for imbalanced data streams
Effective streaming feature selection in dynamic online environments is essential in numerous applications. However, most existing methods evaluate...
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Approaching Set Cover Leasing, Connected Dominating Set and Related Problems with Online Deterministic Algorithms
Over the past decades, algorithmic study of online optimization problems has gained a lot of popularity in both theory and practice. The input to a...
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Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment
In the harsh mobile edge computing (HMEC) environment, there are many dynamic changes such as interference from noise, the impact of extreme...
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An experimental evaluation of deep reinforcement learning algorithms for HVAC control
Heating, ventilation, and air conditioning (HVAC) systems are a major driver of energy consumption in commercial and residential buildings. Recent...
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Pattern matching algorithms in blockchain for network fees reduction
Blockchain received a vast amount of attention in recent years and is still growing. The second generation of blockchain, such as Ethereum, allows...
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Stochastic online decisioning hyper-heuristic for high dimensional optimization
Most existing heuristic optimizers are found to be restricted to problems of moderate dimensionality, and their performance suffers when solving...
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Massively parallel algorithms for fully dynamic all-pairs shortest paths
In this paper, we propose the first fully dynamic parallel allpairs shortest path algorithm in the MPC model with a worstcase update rounds of
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Online TSP with Known Locations
In this paper, we consider the Online Traveling Salesperson Problem (OLTSP) where the locations of the requests are known in advance, but not their...
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Enhancing network intrusion detection by lifelong active online learning
Machine learning has been widely used to build intrusion detection models in detecting unknown attack traffic. How to train a model properly in order...
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Open-Source Software for Online Machine Learning
In contrast to Batch Machine Learning (BML), there are only a few open-source software packages for Online Machine Learning (OML). This chapter...
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Nonparametric Bayesian online change point detection using kernel density estimation with nonparametric hazard function
This paper aims to develop Bayesian online change point detection (BOCD), a parametric change point detection method, into a nonparametric method to...
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R2: Boosting Liquidity in Payment Channel Networks with Online Admission Control
Payment channel networks (PCNs) are a promising technology to improve the scalability of cryptocurrencies. PCNs, however, face the challenge that the...
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A Fast Adaptive Online Gradient Descent Algorithm in Over-Parameterized Neural Networks
In recent years, deep learning has dramatically improved state of the art in many practical applications. However, this utility is highly dependent...
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MapReduce scheduling algorithms in Hadoop: a systematic study
Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses Hadoop Distributed File System (HDFS) for storing data and...
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A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models
Online changepoint detection algorithms that are based on (generalised) likelihood-ratio tests have been shown to have excellent statistical...
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GVFs in the real world: making predictions online for water treatment
In this paper we investigate the use of reinforcement-learning based prediction approaches for a real drinking-water treatment plant. Develo** such...
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Online supervised collective matrix factorization hashing for cross-modal retrieval
Recently, online hashing has received extensive attention in cross-modal retrieval since it can effectively deal with large-scale streaming data....
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Online segmented thickness prediction of hot rolling strip based on IBA-XGBoost
An online segmented thickness prediction algorithm for steel strips based on machine learning is proposed to address issues of strong coupling and...
