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检索条件"任意字段=3rd International Conference on Pattern Recognition and Machine Learning, PRML 2022"

共 265 条记录，以下是1-10 订阅

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2022 3rd international conference on pattern recognition and machine learning, prml 2022

2022 3rd International Conference on Pattern Recognition and...

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3rd international conference on pattern recognition and machine learning, prml 2022

ISBN: (纸本)9781665499507

The proceedings contain 76 papers. The topics discussed include: ship detection with optical image based on attention and loss improved YOLO;ECG characteristic detection using DenseNet based on attention mechanism and feature pyramid;a method to detect the onsets and ends of paroxysmal atrial fibrillation episodes based on sliding window and coding;dynamic feature extraction using I-vector for video fire detection;bimodal information fusion network for salient object detection based on transformer;person re-identification method based on multi-view and attention mechanism;research on road unevenness recognition method based on off-road vehicle driving characteristic;and vehicle re-identification approach combining multiple attention mechanisms and style transfer.

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3rd international conference on machine learning and Data Mining in pattern recognition, MLDM 2003

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3rd international conference on machine learning and Data Mining, MLDM 2003

ISBN: (纸本)3540405046

The proceedings contain 37 papers. The special focus in this conference is on Decision Trees, Clustering and Its Application. The topics include: Introspective learning to build case-based reasoning CBR knowledge containers;graph-based tools for data mining and machine learning;simplification methods for model trees with regression and splitting nodes;learning multi-label alternating decision trees from texts and data;a discretization method of continuous attributes with guaranteed resistance to noise;on the size of a classification tree;a comparative analysis of clustering algorithms applied to load profiling;similarity-based clustering of sequences using hidden markov models;a fast parallel optimization for training support vector machine;a ROC-based reject rule for support vector machines;remembering similitude terms in CBR;authoring cases from free-text maintenance data;classification boundary approximation by using combination of training steps for real-time image segmentation;simple mimetic classifiers;novel mixtures based on the dirichlet distribution;estimating a quality of decision function by empirical risk;efficient locally linear embeddings of imperfect manifolds;dissimilarity representation of images for relevance feedback in content-based image retrieval;a rule-based scheme for filtering examples from majority class in an imbalanced training set;coevolutionary feature learning for object recognition;generalization of pattern-growth methods for sequential pattern mining with gap constraints;discover motifs in multi-dimensional time-series using the principal component analysis and the MDL principle and optimizing financial portfolios from the perspective of mining temporal structures of stock returns.

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Data Processing and pattern recognition for Electronic Nose 3

Data Processing and Pattern Recognition for Electronic Nose

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Raymond, David Chaudhri, Shivnath Shaikh, Kahkasha Datta Meghe Institute of Higher Education and Research Faculty of Enfineering and Technology Department of Computer Science and Medical Engineering Wardha India Datta Meghe Institute of Higher Education and Research Faculty of Enfineering and Technology Depertment of Computer Science and Design Wardha India

ISBN: (纸本)9798331509675

Electronic nose (e-nose) technology has become a powerful tool for identifying and evaluating complex scents in a variety of contexts, such as environmental monitoring, medical diagnostics, and food quality control. This review study looks at how important pattern recognition and data processing are to improving e-nose system performance. This study covered challenges, including data complexity, cross-sensitivity and interference, sensor drift, and a lack of standardization. The article covers several future directions, such as the use of artificial intelligence (AI) and machine learning to advance pattern recognition and predictive analytics, integration with the Internet of Things (IoT) and big data for real-time monitoring, and advancements in sensor technology for improved sensitivity and *** research work is underway towards the development of low power flexible sensors, improved multi sensor fusion Methodologies, smart adaptive algorithms, Application for personalized health monitoring and diagnostics as well to make it green technologies. To move forward with emerging technologies and for e-nose technology to be applicable, it will have to overcome these weaknesses. © 2025 IEEE.

关键词： Electronic nose

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3rd international conference on Visual pattern Extraction and recognition for Cultural Heritage Understanding (VIPERC 2024) 3

3rd International Conference on Visual Pattern Extraction an...

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3rd international conference on Visual pattern Extraction and recognition for Cultural Heritage Understanding, VIPERC 2024

作者： Amelio, Alessia Cupar, Drahomira Sangiorgio, Valentino InGeo University "G. d'Annunzio" Chieti-Pescara Viale Pindaro 42 Pescara65127 Italy DIS University of Zadar Ulica Mihovila Pavlinovića 1 ZadarHR-23 000 Croatia

This document presents the 3nd international conference on Visual pattern Extraction and recognition for Cultural Heritage Understanding (VIPERC 2024), a premier forum for presenting academic and industry papers on big data, data mining and knowledge discovery, machine learning and deep learning, 3D modeling and simulation (structural, thermal, functional and acoustic analysis), software engineering, and, more generally, aspects related to digital transition for visual pattern extraction, analysis, and recognition to preserve cultural heritage. © 2024 Copyright for this paper by its authors.

关键词： Adversarial machine learning

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2019 Joint 8th international conference on Informatics, Electronics and Vision, ICIEV 2019 and 3rd international conference on Imaging, Vision and pattern recognition, icIVPR 2019 with international conference on Activity and Behavior Computing, ABC 2019

2019 Joint 8th International Conference on Informatics, Elec...

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Joint 8th international conference on Informatics, Electronics and Vision and 3rd international conference on Imaging, Vision and pattern recognition, ICIEV and icIVPR 2019

ISBN: (纸本)9781728107868

The proceedings contain 64 papers. The topics discussed include: performance analysis and mitigating the challenges of constraint-based local search;MR-anonymization: a relationship-based privacy model;challenges in sensor-based human activity recognition and a comparative analysis of benchmark datasets: a review;interpretable machine learning with boosting by Boolean algorithm;effects of illumination color on autonomic response to exercise;implementing an efficient SAT solver for structured instances;a comparative study on missing data handling using machine learning for human activity recognition;and prediction of gender and age from inertial sensor-based gait dataset.

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3rd international conference on Language Processing and Knowledge Management, LPKM 2024

3rd International Conference on Language Processing and Know...

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3rd international conference on Language Processing and Knowledge Management, LPKM 2024

ISBN: (纸本)9783031850660

The proceedings contain 29 papers. The special focus in this conference is on Language Processing and Knowledge Management. The topics include: machine learning Serving the School Orientation Process;improving Arabic Fake News Detection Across Context-Aware Attention Deep Model Based on Natural Language Processing;towards a Maude-Based Approach for Formal Modeling Deep Neural Networks;Anti-pattern Based IoRT-Aware Business Process Structure Verification Approach;opinion Analysis Based on a Sentiment Lexical Ontology and Deep learning Models: Tunisian Dialect Case;disfluent-to-Fluent Tunisian Dialect Speech Translation with Fine-Tuning Pre-trained Language Models;BERT-Based Model for Sarcasm Detection in Arabic Texts;typology of Event Data Imperfections;towards Sentiment Analysis for Libyan Dialect;text Categorization Can Enhance Domain-Agnostic Stopword Extraction;normalized Orthography for Tunisian Arabic;deep learning Approach for Early Prediction of Depression on Social Network;adapting Large Language Models to Biomedical Domain: A Survey of Techniques and Approaches;tunisian Arabic Understanding: Resources Analysis and Evaluation;from Data to Decisions: An Ontology-Driven Method for Opinion Mining;LLMs for Cyberbullying Detection in Political Social Media;Assessing BERT Models for Arabic Named Entity recognition in a Multi-dialectal Context;tunisian Normalized Pronunciation;traffScOnto: Ontology for Traffic Management in the Context of Smart City Domain;SERTUS Dataset Collection from Spontaneous Environments;an Agricultural Sentiment Dataset for Pest Control and Crop Diseases;deep learning Approach to Identify and Classify Arabic Verbal Multi-word Expressions;a Design pattern-Based Approach for Analyzing MapReduce Applications;analyzing the Impact of Big Data in Mental Health;The Impact of AI on Knowledge Management;a Rule-Based System for Translating Libyan Dialect Dual Forms to Modern Standard Arabic.

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2016 3rd international conference on Artificial Intelligence and pattern recognition, AIPR 2016

2016 3rd International Conference on Artificial Intelligence...

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3rd international conference on Artificial Intelligence and pattern recognition, AIPR 2016

ISBN: (纸本)9781467391870

The proceedings contain 30 papers. The topics discussed include: defect automatic detection for tire x-ray images using inverse transformation of principal component residual;co-channel interference mitigation on capacity and coverage in cellular systems;dyadic lifting wavelet based signal detection;multi-view matching points extraction algorithm based on union find sets;revocation basis and proofs access control for cloud storage multi-authority systems;a detection method for network security based on the combination of support vector machine;issues on critical objects in mining algorithms;motion background modeling based on context-encoder;application of intelligence of swarm in architecture;features selection for building an early diagnosis machine learning model for Parkinson's disease;latent fingerprint wavelet transform image enhancement technique for optical coherence tomography;synchronizing switching times of vacuum interrupters for medium voltage switchboards' techniques;performance analysis of the method for social search of information in university information systems;and modeling and data processing of information systems.

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3rd international conference on Intelligent Systems and pattern recognition, ISPR 2023

3rd International Conference on Intelligent Systems and Patt...

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3rd international conference on Intelligent Systems and pattern recognition, ISPR 2023

ISBN: (纸本)9783031463341

The proceedings contain 44 papers. The special focus in this conference is on Intelligent Systems and pattern recognition. The topics include: Staged Reinforcement learning for Complex Tasks Through Decomposed Environments;policy Generation from Latent Embeddings for Reinforcement learning;deep learning Models for Aspect-Based Sentiment Analysis Task: A Survey Paper;A Real-Time Deep UAV Detection Framework Based on a YOLOv8 Perception Module;a Deep Neural Architecture Search Net-Based Wearable Object Classification System for the Visually Impaired;Multicarrier Waveforms Classification with LDA and CNN for 5G;Weeds Detection Using Mask R-CNN and Yolov5;Boruta-AttLSTM: A Novel Deep learning Architecture for Soil Moisture Prediction;graph Autoencoder with Community Neighborhood Network;Study of Support Set Generation Techniques in LAD for Intrusion Detection;question-Aware Deep learning Model for Arabic machine Reading Comprehension;a Hybrid Deep learning Scheme for Intrusion Detection in the Internet of Things;identifying Discourse Markers in French Spoken Corpora: Using machine learning and Rule-Based Approaches;A Comparative Study of the Impact of Different First Order Optimizers on the learning Process of UNet for Change Detection Task;Minimal Window Duration for Identifying Cognitive Decline Using Movement-Related Versus Rest-State EEG;modeling Graphene Extraction Process Using Generative Diffusion Models;bird Species recognition in Soundscapes with Self-supervised Pre-training;on the Different Concepts and Taxonomies of eXplainable Artificial Intelligence;Classifying Alzheimer Disease Using Resting State Coefficient of Variance BOLD Signals;proteus Based Automatic Irrigation System;How AI can Advance Model Driven Engineering Method ?.

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3rd international conference on Intelligent Systems and pattern recognition, ISPR 2023

3rd International Conference on Intelligent Systems and Patt...

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3rd international conference on Intelligent Systems and pattern recognition, ISPR 2023

ISBN: (纸本)9783031463372

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3rd international conference on pattern recognition Applications and Methods, ICPRAM 2014

3rd International Conference on Pattern Recognition Applicat...

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3rd international conference on pattern recognition Applications and Methods, ICPRAM 2014

ISBN: (纸本)9783319255293

The proceedings contain 18 papers. The special focus in this conference is on pattern recognition Applications and Methods. The topics include: Aggregation of biclustering solutions for ensemble approach;fuzzy c-means stereo segmentation;intra-class variance among multiple samples of the same person’s fingerprint in a cooperative user scenario;kernel matrix completion for learning nearly consensus support vector machines;an empirical comparison of support vector machines versus nearest neighbour methods for machine learning applications;improving the detection of relations between objects in an image using textual semantics;a TOF-aided approach to 3d mesh-based reconstruction of isometric surfaces;segmentation of tomatoes in open field images with shape and temporal constraints;fast and accurate pedestrian detection in a truck’s blind spot camera;comparing different labeling strategies in anomalous power consumptions detection;an efficient shape feature extraction, description and matching method using GPU;utilization of multiple sequence analyzers for bibliographic information extraction;statistically representative cloud of particles for crowd flow tracking;preserving maximum color contrast in generation of gray images and real-time facial analysis in still images and videos for gender and age estimation.

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