TY  - BOOK
AU  - Ren,Jinchang
AU  - Hussain,A.
AU  - Liao,Iman Yi
AU  - Chen,Rongjun
AU  - Huang,Kaizhu
AU  - Zhao,Huimin
AU  - Liu,Xiaoyong
AU  - Ma,Ping
AU  - Maul,Thomas
ED  - Brain-inspired Cognitive Systems (Conference)
TI  - Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5-6, 2023, Proceedings 
T2  - Lecture notes in artificial intelligence
SN  - 9789819714179
AV  - Q334 
U1  - 006.3 23/eng/20240529
PY  - 2024///
CY  - Singapore
PB  - Springer
KW  - Artificial intelligence
KW  - Congresses
KW  - Cognitive science
KW  - Data processing
KW  - User-centered system design
KW  - Intelligence artificielle
KW  - Congrès
KW  - Sciences cognitives
KW  - Informatique
KW  - Conception participative (Conception de systèmes)
N1  - 2.2 Feature Extraction Module Based on Inter-class Alignment: Inter-CA; Includes author index; Intro -- Preface -- Organization -- Contents -- Bio-inspired Systems and Neural Computation -- Vision-Based Deep Q-Learning on Simple Control Problems: Stabilization via Neurogenesis Regularization -- 1 Introduction -- 2 Background -- 2.1 Deep Q-Learning Stabilization -- 2.2 Network Depth -- 2.3 Catastrophic Forgetting -- 2.4 Neurogenesis -- 3 Methods -- 3.1 Environments and Experimental Design -- 3.2 Models -- 3.3 Training Stabilization Strategy -- 3.4 Neurogenesis -- 4 Results -- 5 Discussion -- References; Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication -- 1 Introduction -- 2 Motivation and Background -- 3 Basic Architectural and Representational Constructs -- 3.1 The CD+ Concept Representational Framework -- 3.2 The UGALRS Architecture -- 4 Representations for Language Communication -- 4.1 Motivation and Sentence Concoction/Generation -- 4.2 Affective States and Illocutionary Forces -- 4.3 Sentence Understanding, Actions, and Affective States -- 4.4 Continuing Communication -- 5 Discussion and Conclusion -- References; GSA-UBS: A Novel Medical Hyperspectral Band Selection Based on Gravitational Search Algorithm -- 1 Introduction -- 2 Related Works -- 3 The Proposed GSA-UBS -- 3.1 Discretization of GSA -- 3.2 Objective Function -- 4 Experiment -- 4.1 Datasets -- 4.2 Compared Methods -- 4.3 Experimental Setup -- 4.4 Experimental Results -- 5 Conclusion -- References -- Enhancing Generalizability of Deep Learning Polyp Segmentation Using Online Spatial Interpolation and Hue Transformation -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Proposed Framework -- 2.3 Hyperparameters and Metrics; 3 Experiments and Results -- 4 Conclusions -- References -- MLM-LSTM: Multi-layer Memory Learning Framework Based on LSTM for Hyperspectral Change Detection -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Spectral Feature Extraction and Dimension Reduction -- 2.2 Shallow and Deep Memory Learning -- 3 Experiments and Results -- 3.1 Experimental Settings -- 3.2 Results and Analysis -- 3.3 Ablation Experiments -- 3.4 Hyperparameter Analysis -- 4 Conclusion -- References -- A Hierarchical Geometry-to-Semantic Fusion GNN Framework for Earth Surface Anomalies Detection -- 1 Introduction; 2 Related Work -- 2.1 Earth Surface Anomalies Detection and Diagnosis -- 2.2 Graph Neural Network in Satellite Imagery -- 3 Our Method -- 3.1 Notations -- 3.2 Graph Generation -- 3.3 Earth Surface Anomalies Detection -- 4 Experiments -- 4.1 Dataset -- 4.2 Baseline Methods and Implementation Details -- 4.3 Experimental Results -- 5 Conclusion -- References -- Zero-Shot Incremental Learning Algorithm Based on Bi-alignment Mechanism -- 1 Introduction -- 2 Method -- 2.1 Feature Extraction Module Based on Intra-class Alignment: Intra-CA
N2  - This book constitutes the refereed proceedings of the International Conference on Brain Inspired Cognitive Systems, BICS 2023, held in Kuala Lumpur, Malaysia, in August 2023. The 36 full papers included in this book were reviewed and selected from 58 submissions and are organized in thematic sections as follows: Bio-inspired systems and Neural Computation; Image Recognition, Detection and Classification; Vision and Object Tracking; Data Analysis and Machine Learning and Applications
UR  - https://link.springer.com/10.1007/978-981-97-1417-9
ER  -