Computer Analysis of Images and Patterns

20th International Conference, CAIP 2023, Limassol, Cyprus, September 25–28, 2023, Proceedings, Part II

AvNicolas Tsapatsoulis,Andreas Lanitis

Häftad, Engelska, 2023

Del 14185 i serien Lecture Notes in Computer Science

726 kr

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Beskrivning

This volume LNCS 14184 and 14185 constitutes the refereed proceedings of the 20th International Conference, CAIP 2023, in Limassol, Cyprus, in September 2023. The 54 full papers presented were carefully reviewed and selected from 67 submissions. They were organized in the following section as follows:Part I: PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object Recognition and Segmentation.Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications.

Produktinformation

Utgivningsdatum:2023-09-20
Mått:155 x 235 x 17 mm
Vikt:464 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:279
Förlag:Springer International Publishing AG
ISBN:9783031442391

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

Biometrics - Human Pose Estimation - Action Recognition.- A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features.- Highly crowd detection and counting based on curriculum learning.- Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing.- Fall detection with event-based data: A case study.- Towards Accurate and Efficient Sleep Period Detection using Wearable Devices.- RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification.- Biomedical Image and Pattern Analysis.- Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms.- Complete AI-based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-Management.- COFI - Coarse-semantic to fine-instance unsupervised mitochondria segmentation in EM.- Empirical study of attention-based models for automatic classification of gastrointestinal endoscopy images.- Classification of Breast Micro-Calcifications as Benign or Malignant using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning.- Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation.- Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images.- Comparative Study of Explainable AI models in the assessment of Multiple Sclerosis.- General Vision - AI Applications.- Biometric Recognition of African Clawed Frogs.- Teacher-Student synergetic knowledge distillation for detecting alcohol consumption in NIR iris Images.- Performance Assessment of Fine-tuned Barrier Recognition Models in Varying Conditions.- Keyrtual: A Lightweight Virtual Musical Keyboard based on RGB-D and Sensors Fusion.- Classification of Honey Pollens with ImageNet Neural Networks.- Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space.- Unsupervised Representation Learning in Partially Observable Atari Games.- Structural Analysis of the Additive Noise Impact on the α-tree.- Augmented Reality for indoor localization and navigation: the case of UNIPI AR Experience.- A Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial Images.- Perceptual Light Field Image Coding with CTU Level Bit Allocation.- Comparative Performance Assessment of Different Video Codecs.

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