In the era of cybersecurity, Biometric recognition systems are used in a variety of applications, including access control and forensic investigation. this paper presents a novel biometric authentication technique in ...
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Local descriptor plays an important role in Content-Based Image Retrieval (CBIR) and face recognition. Almost all local patterns are based on the relationship between neighboring pixels in a local area. the most famou...
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ISBN:
(纸本)9798350314557
Local descriptor plays an important role in Content-Based Image Retrieval (CBIR) and face recognition. Almost all local patterns are based on the relationship between neighboring pixels in a local area. the most famous local pattern is Local Binary pattern (LBP), in which the patterns are defined based on the intensity difference between a central pixel and its neighboring in a 3 similar to 3 local window. Orthogonal Difference Local Binary pattern (OLDBP) is an extended version of LBP which is introduced recently. In this paper, ODLBP is improved. In the proposed method each 3 similar to 3 local window is divided into two groups and then local patterns of each group are extracted and finally, the feature vector is provided by concatenating of groups patterns. To evaluate the proposed method, three datasets Yale, ORL and GT are used. Implementation results show the powerful of the proposed method comparing to ODLBP. the proposed method is more faster than the ODLBP while its precision and recall are slightly higher than the ODLBP method.
this study investigates how patternrecognition in financial markets can enhance trading strategies through a systematic literature review (SLR). the research focuses on the most frequently studied financial markets, ...
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Gestures and body language exert a significant impact on communication and interactions among individuals. this project's objective entailed the development of a gesture recognition system that analyzes the way pe...
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ISBN:
(纸本)9798400708473
Gestures and body language exert a significant impact on communication and interactions among individuals. this project's objective entailed the development of a gesture recognition system that analyzes the way people interact withtheir surroundings. the careful selection of the five recognized gestures ensures that the system remains focused on key limb placements that may dictate how one is perceived by the surrounding public. As the infrared (IR) camera captures real-time data, the system's ability to operate in low-light conditions further adds to its practicality and versatility in various environments. the convolutional neural network (CNN) plays a central role in the system's accuracy and efficiency. Its intensive training on a diverse dataset of images allows it to discern the distinct visual patterns associated with each gesture. As a result, the algorithm's Mean Average Precision (mAP) of 71.84% attests to its proficiency in accurately recognizing and classifying gestures.
Researchers have shown that 55% of concepts are conveyed through facial emotion and only 7% are conveyed by words and sentences, so facial expression plays an important role in conveying concepts in human communicatio...
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ISBN:
(纸本)9798350314557
Researchers have shown that 55% of concepts are conveyed through facial emotion and only 7% are conveyed by words and sentences, so facial expression plays an important role in conveying concepts in human communications. In recent years, due to the improvement of artificial neural networks, many studies have been conducted related to facial expression recognition. this paper presents a method based on ensemble classification using convolutional neural networks to recognize facial emotions. the concatenation of spatial features with global features is used as a feature map for the classification stage in the committee network. Two committee networks are fed separately with LBP and raw images. After training the two committee networks, to classify the emotion, the maximum probability between the two networks is considered as the final output. the proposed method was applied and tested on the FER2013 dataset. Our proposed method is more accurate than many leading methods, and in competition withthe successful model that has a more complex architecture and higher computational cost, it has been able to achieve acceptable results with a simple architecture.
this paper investigates the adaptive correction of a multistage detector in a biomorphic artificial intelligence system for patternrecognition problems. A distinctive feature of this system is its imitation of the hi...
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this work aims at inferring a set of regular expressions to parse a text file, like a system log. To this end, we propose a novel edit distance taking advantage of the pattern matching background. Edit distances are c...
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ISBN:
(数字)9781665490627
ISBN:
(纸本)9781665490627
this work aims at inferring a set of regular expressions to parse a text file, like a system log. To this end, we propose a novel edit distance taking advantage of the pattern matching background. Edit distances are commonly used for fuzzy search and in bioinformatics, and compare two strings at the character level. By doing so, edit distances do not consider the nature of the data conveyed by the strings. To address this problem, we propose the following contributions. First, we propose to model strings at the pattern level using a dedicated data structure, called pattern automaton. Second, we design a novel edit distance, operating at the pattern level. third, we derive a clustering algorithm optimized for this distance. Finally, we evaluate our proposal through experimental validation.
the proceedings contain 15 papers. the topics discussed include: power large language model exploration: activation, measurement and enhancement for operations and maintenance knowledge;transformer fault diagnosis bas...
ISBN:
(纸本)9798400718250
the proceedings contain 15 papers. the topics discussed include: power large language model exploration: activation, measurement and enhancement for operations and maintenance knowledge;transformer fault diagnosis based on IESOA-ELM and SMOTE;EFRAG: embedding-fine tuning retrieval augmented generation for QA in power projects;two-level data sharing method based on classification and grading watermark identification;automated knowledge mining and knowledge graph reasoning for aircraft engine maintenance;DTCNA-Net: dual temporal convolutional neural network with noise estimation and attention mechanism for intelligent fault diagnosis under the complex noise environment;study of incremental photoelectric encoder error compensation based on WSO-GRU;and challenge and practice of intelligent high continuity service for navigation satellite.
patternrecognition plays a significant role in the detection of uterine fibroids through various medical imaging modalities such as ultrasound, Magnetic Resonance Imaging (MRI), and computed tomography (CT) scans. Ul...
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the proceedings contain 16 papers. the special focus in this conference is on Artificial Neural Networks in patternrecognition. the topics include: Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detect...
ISBN:
(纸本)9783031206498
the proceedings contain 16 papers. the special focus in this conference is on Artificial Neural Networks in patternrecognition. the topics include: Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech;preface;graph Augmentation for Neural Networks Using Matching-Graphs;Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi;transformer-Encoder Generated Context-Aware Embeddings for Spell Correction;assessment of Pharmaceutical Patent Novelty with Siamese Neural Networks;white Blood Cell Classification of Porcine Blood Smear Images;medical Deepfake Detection using 3-Dimensional Neural Learning;a Study on the Autonomous Detection of Impact Craters;utilization of Vision Transformer for Classification and Ranking of Video Distortions;a Novel Representation of Graphical patterns for Graph Convolution Networks;minimizing Cross Intersections in Graph Drawing via Linear Splines;multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions;do Minimal Complexity Least Squares Support Vector Machines Work?.
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