國立高雄大學圖資館 |

Language: English

Back

Generalizing from limited resources in the open worldsecond International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generalizing from limited resources in the open worldedited by Jinyang Guo ... [et al.].
Reminder of title:	second International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings /
remainder title:	GLOW 2024
other author:	Guo, Jinyang.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	x, 210 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-981-97-6125-8
ISBN:	9789819761258$q(electronic bk.)

Generalizing from limited resources in the open worldsecond International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings /
Generalizing from limited resources in the open worldsecond International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings /[electronic resource] :GLOW 2024edited by Jinyang Guo ... [et al.]. - Singapore :Springer Nature Singapore :2024. - x, 210 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,21601865-0937 ;. - Communications in computer and information science ;229..

Efficient Methods for Low-resource Hardware -- Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor -- Toward Efficient Deep Spiking Neuron Networks: A Survey On Compression -- Towards Efficient Fault Detection of UHV DC Circuit Breakers -- Robust Autonomous Unmanned Aerial Vehicle System for Efficient Tracking of Moving Objects -- Efficient Fintuning with Limited Data -- Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap -- CafeLLM: Context-Aware Fine-Grained Semantic Clustering using Large Language Models -- Adapter-Based Contextualized Meta Embeddings -- Advancements in Multimodal Systems -- MADP: Multi-modal Sequence Learning for Alzheimer's Disease Prediction with Missing Data -- Multi-modal Spatiotemporal Forecasting via Cross-scale Operator Learning and Spatial Representation Aggregation -- Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation -- Bridging the Language Gap: Domain-Specific Dataset Construction for Medical LLMs -- Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs -- Recognition and Reasoning in the Open World -- Semantic-Degrade Learning Framework for Open World Object Detection -- Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object Detection -- YOLO-FCNET: Enhancing SAR Ship Detection with Fourier Convolution in YOLOv8.

This book presents the Proceedings from the Second International Workshop GLOW 2024 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024, in Jeju Island, South Korea, in August 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: efficient methods for low-resource hardware; efficient fintuning with limited data; advancements in multimodal systems; recognition and reasoning in the open world.

ISBN: 9789819761258$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6125-8doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Generalizing from limited resources in the open worldsecond International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings /
LDR:03353nmm a2200361 a 4500 001 666658
003 DE-He213
005 20240727125253.0
006 m d
007 cr nn 008maaau
008 250107s2024 si s 0 eng d
020 $a 9789819761258$q(electronic bk.)
020 $a 9789819761241$q(paper)
024 7 $a 10.1007/978-981-97-6125-8 $2 doi
035 $a 978-981-97-6125-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Generalizing from limited resources in the open world $h [electronic resource] : $b second International Workshop, GLOW 2024, held in conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024 : proceedings / $c edited by Jinyang Guo ... [et al.].
246 3 $a GLOW 2024
246 3 $a IJCAI 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a x, 210 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2160
505 0 $a Efficient Methods for Low-resource Hardware -- Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor -- Toward Efficient Deep Spiking Neuron Networks: A Survey On Compression -- Towards Efficient Fault Detection of UHV DC Circuit Breakers -- Robust Autonomous Unmanned Aerial Vehicle System for Efficient Tracking of Moving Objects -- Efficient Fintuning with Limited Data -- Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap -- CafeLLM: Context-Aware Fine-Grained Semantic Clustering using Large Language Models -- Adapter-Based Contextualized Meta Embeddings -- Advancements in Multimodal Systems -- MADP: Multi-modal Sequence Learning for Alzheimer's Disease Prediction with Missing Data -- Multi-modal Spatiotemporal Forecasting via Cross-scale Operator Learning and Spatial Representation Aggregation -- Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation -- Bridging the Language Gap: Domain-Specific Dataset Construction for Medical LLMs -- Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs -- Recognition and Reasoning in the Open World -- Semantic-Degrade Learning Framework for Open World Object Detection -- Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object Detection -- YOLO-FCNET: Enhancing SAR Ship Detection with Fourier Convolution in YOLOv8.
520 $a This book presents the Proceedings from the Second International Workshop GLOW 2024 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024, in Jeju Island, South Korea, in August 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: efficient methods for low-resource hardware; efficient fintuning with limited data; advancements in multimodal systems; recognition and reasoning in the open world.
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Computing Milieux. $3 275270
650 2 4 $a Computer and Information Systems Applications. $3 913125
700 1 $a Guo, Jinyang. $3 979401
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-981-97-6125-8
950 $a Computer Science (SpringerNature-11645)