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Optimized multi-scale affine shape registration based on an unsupervised Bayesian classification
Here, we intend to introduce an efficient, robust curve alignment algorithm with respect to the group of special affine transformations of the plane...
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Moving objects detection in thermal scene videos using unsupervised Bayesian classifier with bootstrap Gaussian expectation maximization algorithm
In this paper, a new algorithm for moving object detection is proposed by using unsupervised Bayesian classifier with bootstrap Gaussian expectation...
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A New Fast Bloc Matching Algorithm Using Unsupervised Bayesian Classifier with Bootstrap Gaussian Expectation Maximization Algorithm
This paper proposes a two-step block matching algorithm for motion estimation. To reduce the algorithmic complexity, the unsupervised Bayesian...
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Unsupervised adversarial domain adaptation leaf counting with Bayesian loss density estimation
In this paper, an unsupervised domain adaptation method for leaf counting is proposed. A model is pre-trained in a source domain dataset, and then,...
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Variational bayesian clustering algorithm for unsupervised anomalous sound detection incorporating VH-BCL+
In industrial environments, acoustic detection of equipment can often significantly change the acoustic characteristics between training and testing...
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Unsupervised character recognition with graphene memristive synapses
Memristive devices being applied in neuromorphic computing are envisioned to significantly improve the power consumption and speed of future...
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Variational auto encoder fused with Gaussian process for unsupervised anomaly detection
The unsupervised anomaly detection in high-dimensional and complex settings poses a formidable challenge. To tackle the challenges associated with...
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Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant concerns for healthcare officials worldwide. Diabetic...
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Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN
Algorithms designed for ice-water classification of synthetic aperture radar (SAR) sea ice imagery produce only binary (ice and water) output...
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Big data in transportation: a systematic literature analysis and topic classification
This paper identifies trends in the application of big data in the transport sector and categorizes research work across scientific subfields. The...
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Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering
Data augmentation has contributed to the rapid advancement of unsupervised learning on 3D point clouds. However, we argue that data augmentation is...
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EML for Unsupervised Learning
This chapter introduces the use of Evolutionary Machine Learning (EML) techniques for unsupervised machine learning tasks. First, a brief...
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Unsupervised feature learning based on autoencoder for epileptic seizures prediction
Epilepsy is one of the most common neurological diseases in the world. It’s essential to predict epileptic seizures since it can provide patients...
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Unsupervised open-world human action recognition
Open-world recognition (OWR) is an important field of research that strives to develop machine learning models capable of identifying and learning...
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An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction
The rapid growth of the Internet of things (IoT) platform has implications on security vulnerabilities that need to be resolved. This requires an...
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Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews
Sentiment Analysis is a method to identify, extract, and quantify people’s feelings, opinions, or attitudes. The wealth of online data motivates...
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Network Traffic Classification Using Deep Learning Networks and Bayesian Data Fusion
The rapid growth of current computer networks and their applications has made network traffic classification more important. The latest approach in...
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Unsupervised group-based crowd dynamic behavior detection and tracking in online video sequences
Analysis of video sequences of public places is an important topic in video surveillance systems. Due to the high probability of occurring abnormal...
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Unsupervised Clustering
Unsupervised clustering is useful for automated segregation of participants, grou** of entities, or cohort phenoty**. Such derived computed...
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An Unsupervised Sentiment Classification Method Based on Multi-level Sentiment Information Extraction Using CRbSA Algorithm
Social big data is a feedback data or text obtained from the users on social media like Twitter, YouTube, etc. This is large in size and unstructured...