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Pattern recognition = 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pattern recognition/ edited by Apostolos Antonacopoulos ... [et al.].
其他題名:	27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024 : proceedings.
其他題名:	ICPR 2024
其他作者:	Antonacopoulos, Apostolos.
團體作者:	International Conference on Pattern Recognition
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxxvii, 470 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling -- Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process -- Knowledge Distillation in Deep Networks under a Constrained Query Budget -- Adabot: An Adaptive Trading Bot using an Ensemble of Phase-specific Few-shot Learners to Adapt to the Changing Market Dynamics -- Uncertainty in Ambiguity of Data -- When Uncertainty-based Active Learning May Fail -- Customizable and Programmable Deep Learning -- SegXAL: Explainable Active Learning for semantic segmentation in driving scene scenarios -- AMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action Localization -- Comparative Analysis Of Pretrained Models for Text Classification, Generation and Summarization : A Detailed Analysis -- Predicting Judgement Outcomes from Legal Case File Summaries with Explainable Approach -- Multi-view Ensemble Clustering-based Podcast Recommendation in Indian Regional Setting -- Privacy-Preserving Ensemble Learning using Fully Homomorphic Encryption -- Capturing Temporal Components for Time Series Classification -- Hierarchical Transfer Multi-task Learning Approach for Scene Classification -- Deep Prompt Multi-task Network for Abuse Language Detection -- All mistakes are not equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP) -- IDAL: Improved Domain Adaptive Learning for Natural Images Dataset -- Large Multimodal Models Thrive with Little Data for Image Emotion Prediction -- Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness -- Restoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network -- Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data -- FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection -- C2F-CHART: A Curriculum Learning Approach to Chart Classification -- Vision DualGNN: Semantic Graph is Not Only You Need -- Enhancing Graph-based Clustering Based on the Regularity Lemma -- IPD: Scalable Clustering with Incremental Prototypes -- Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation -- Adaptive Graph-based Manifold Learning for Gene Selection.
Contained By:	Springer Nature eBook
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-78107-0
ISBN:	9783031781070

Pattern recognition = 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024 : proceedings.. Part I /
Pattern recognition27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024 : proceedings.Part I /[electronic resource] :ICPR 2024edited by Apostolos Antonacopoulos ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xxxvii, 470 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,153011611-3349 ;. - Lecture notes in computer science ;15301..

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling -- Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process -- Knowledge Distillation in Deep Networks under a Constrained Query Budget -- Adabot: An Adaptive Trading Bot using an Ensemble of Phase-specific Few-shot Learners to Adapt to the Changing Market Dynamics -- Uncertainty in Ambiguity of Data -- When Uncertainty-based Active Learning May Fail -- Customizable and Programmable Deep Learning -- SegXAL: Explainable Active Learning for semantic segmentation in driving scene scenarios -- AMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action Localization -- Comparative Analysis Of Pretrained Models for Text Classification, Generation and Summarization : A Detailed Analysis -- Predicting Judgement Outcomes from Legal Case File Summaries with Explainable Approach -- Multi-view Ensemble Clustering-based Podcast Recommendation in Indian Regional Setting -- Privacy-Preserving Ensemble Learning using Fully Homomorphic Encryption -- Capturing Temporal Components for Time Series Classification -- Hierarchical Transfer Multi-task Learning Approach for Scene Classification -- Deep Prompt Multi-task Network for Abuse Language Detection -- All mistakes are not equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP) -- IDAL: Improved Domain Adaptive Learning for Natural Images Dataset -- Large Multimodal Models Thrive with Little Data for Image Emotion Prediction -- Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness -- Restoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network -- Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data -- FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection -- C2F-CHART: A Curriculum Learning Approach to Chart Classification -- Vision DualGNN: Semantic Graph is Not Only You Need -- Enhancing Graph-based Clustering Based on the Regularity Lemma -- IPD: Scalable Clustering with Incremental Prototypes -- Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation -- Adaptive Graph-based Manifold Learning for Gene Selection.

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1-5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.

ISBN: 9783031781070

Standard No.: 10.1007/978-3-031-78107-0doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Pattern recognition = 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024 : proceedings.. Part I /
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