東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Structural, syntactic, and statistic...

International Workshop on Structural and Syntactic Pattern Recognition ((2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Structural, syntactic, and statistical pattern recognition = Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Structural, syntactic, and statistical pattern recognition/ edited by Andrea Torsello ... [et al.].
Reminder of title:	Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers /
remainder title:	S+SSPR 2024
other author:	Torsello, Andrea.
corporate name:	International Workshop on Structural and Syntactic Pattern Recognition
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 200 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	A Differentiable Approximation of the Graph Edit Distance. -- Learning Graph Similarity by Counting Holes in Simplicial Complexes. -- Community-Hop: Enhancing Node Classification through Community Preference. -- Spatio-Temporal Graph Neural Networks for Water Temperature Modeling. -- Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection. -- LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia. -- Evaluation metrics in Saliency Maps applied to Graph Regression. -- LESI-GNN: an Interpretable Graph Neural Network based on Local Structures Embedding. -- Mixture of Variational Graph Autoencoders. -- Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions. -- Multi-modal Medical Images Classification Using Meta-learning Algorithms. -- From semantic segmentation of natural images to medical image segmentation using ViT-based architectures. -- Chronic Wound Segmentation and Measurement Using Semi-Supervised Hierarchical Convolutional Neural Networks. -- ZIRACLE: Zero-shot composed Image Retrieval with Advanced Component-Level Emphasis. -- Improving Object Detector Performance on Low-Quality Images using Histogram Matching and Model Stacking. -- Comparing Learning Methods to Enhance Decision-Making in Simulated Curling. -- An empirical characterization of the stability of Isolation Forest results. -- Automated Classification of Android Games using Word Embeddings. -- An interesting property of Random Forest distances with respect to the curse of dimensionality.
Contained By:	Springer Nature eBook
Subject:	Pattern recognition systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-80507-3
ISBN:	9783031805073

Structural, syntactic, and statistical pattern recognition = Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers /
Structural, syntactic, and statistical pattern recognitionJoint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers /[electronic resource] :S+SSPR 2024edited by Andrea Torsello ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xii, 200 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154440302-9743 ;. - Lecture notes in computer science ;15444..

A Differentiable Approximation of the Graph Edit Distance. -- Learning Graph Similarity by Counting Holes in Simplicial Complexes. -- Community-Hop: Enhancing Node Classification through Community Preference. -- Spatio-Temporal Graph Neural Networks for Water Temperature Modeling. -- Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection. -- LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia. -- Evaluation metrics in Saliency Maps applied to Graph Regression. -- LESI-GNN: an Interpretable Graph Neural Network based on Local Structures Embedding. -- Mixture of Variational Graph Autoencoders. -- Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions. -- Multi-modal Medical Images Classification Using Meta-learning Algorithms. -- From semantic segmentation of natural images to medical image segmentation using ViT-based architectures. -- Chronic Wound Segmentation and Measurement Using Semi-Supervised Hierarchical Convolutional Neural Networks. -- ZIRACLE: Zero-shot composed Image Retrieval with Advanced Component-Level Emphasis. -- Improving Object Detector Performance on Low-Quality Images using Histogram Matching and Model Stacking. -- Comparing Learning Methods to Enhance Decision-Making in Simulated Curling. -- An empirical characterization of the stability of Isolation Forest results. -- Automated Classification of Android Games using Word Embeddings. -- An interesting property of Random Forest distances with respect to the curse of dimensionality.

This book constitutes the proceedings of the Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2024, which took place in Venice, Italy, during September 9-11, 2024. The 19 full papers presented in this volume were carefully reviewed and selected from 27 submissions. The proceedings focus on pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.

ISBN: 9783031805073

Standard No.: 10.1007/978-3-031-80507-3doiSubjects--Topical Terms:

563039
Pattern recognition systems
--Congresses.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Structural, syntactic, and statistical pattern recognition = Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers /
LDR:03325nmm a2200349 a 4500 001 2408685
003 DE-He213
005 20250131115230.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031805073 $q (electronic bk.)
020 $a 9783031805066 $q (paper)
024 7 $a 10.1007/978-3-031-80507-3 $2 doi
035 $a 978-3-031-80507-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.P3
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.4 $2 23
090 $a TK7882.P3 $b I61 2024
111 2 $a International Workshop on Structural and Syntactic Pattern Recognition $d (2024 : $c Venice, Italy) $3 3781367
245 1 0 $a Structural, syntactic, and statistical pattern recognition $h [electronic resource] : $b Joint IAPR International Workshops, S+SSPR 2024, Venice, Italy, September 9-10, 2024 : revised selected papers / $c edited by Andrea Torsello ... [et al.].
246 3 $a S+SSPR 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xii, 200 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 15444
505 0 $a A Differentiable Approximation of the Graph Edit Distance. -- Learning Graph Similarity by Counting Holes in Simplicial Complexes. -- Community-Hop: Enhancing Node Classification through Community Preference. -- Spatio-Temporal Graph Neural Networks for Water Temperature Modeling. -- Enhancing IoT Network Security with Graph Neural Networks for Node Anomaly Detection. -- LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia. -- Evaluation metrics in Saliency Maps applied to Graph Regression. -- LESI-GNN: an Interpretable Graph Neural Network based on Local Structures Embedding. -- Mixture of Variational Graph Autoencoders. -- Multimodality Calibration in 3D Multi Input-Multi Output Network for Dementia Diagnosis with Incomplete Acquisitions. -- Multi-modal Medical Images Classification Using Meta-learning Algorithms. -- From semantic segmentation of natural images to medical image segmentation using ViT-based architectures. -- Chronic Wound Segmentation and Measurement Using Semi-Supervised Hierarchical Convolutional Neural Networks. -- ZIRACLE: Zero-shot composed Image Retrieval with Advanced Component-Level Emphasis. -- Improving Object Detector Performance on Low-Quality Images using Histogram Matching and Model Stacking. -- Comparing Learning Methods to Enhance Decision-Making in Simulated Curling. -- An empirical characterization of the stability of Isolation Forest results. -- Automated Classification of Android Games using Word Embeddings. -- An interesting property of Random Forest distances with respect to the curse of dimensionality.
520 $a This book constitutes the proceedings of the Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2024, which took place in Venice, Italy, during September 9-11, 2024. The 19 full papers presented in this volume were carefully reviewed and selected from 27 submissions. The proceedings focus on pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
650 0 $a Pattern recognition systems $v Congresses. $3 563039
650 0 $a Computer vision $x Congresses. $3 570734
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Discrete Mathematics in Computer Science. $3 892513
650 2 4 $a Design and Analysis of Algorithms. $3 3538532
650 2 4 $a Computer Graphics. $3 892532
650 2 4 $a Computer Vision. $3 3538524
650 2 4 $a Automated Pattern Recognition. $3 3538549
700 1 $a Torsello, Andrea. $3 3493980
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15444. $3 3781368
856 4 0 $u https://doi.org/10.1007/978-3-031-80507-3
950 $a Computer Science (SpringerNature-11645)