Program / SS-05: Continual Learning and Emergence of Intelligent Systems

SS-05: Continual Learning and Emergence of Intelligent Systems

November 03 (Tuesday) · 16:20–18:20 · Room C+D

Chair: Takeru Aoki (The University of Tokyo)

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16:20–16:40Paper ID: 310Full paper

A Study on Synapse Reduction Based on Predictive Contribution in Cortical Learning Algorithm

Takeru Aoki (The University of Tokyo)*

16:40–16:55Paper ID: 235Abstract-only paper

Inactivity-Based Motion Direction Estimation of Dynamic Objects Using Growing Neural Gas

Kai Umeda (Okayama University)*; Yuichiro Toda (Okayama University); Yongdong Wang (Okayama Univeristy); Takayuki Matsuno (Okayama University)

16:55–17:10Paper ID: 239Abstract-only paper

MLATC-Based Topological Refinement for Step-Aware Hierarchical Traversability Assessment

Kazuki Nomoto (Okayama University)*; Yuichiro Toda (Okayama University); Yongdong Wang (Okayama University); Tkayuki Matsuno (Okayama University)

17:10–17:25Paper ID: 271Abstract-only paper

Hierarchical Cluster Selection Based on Compactness and Separation of Candidate Clusters in Adaptive Resonance Theory-Based Clustering

Ikuto Onishi (Osaka Metropolitan University)*; Naoki Masuyama (Osaka Metropolitan University); Yusuke Nojima (Osaka Metropolitan University)

17:25–17:45Paper ID: 175Full paper

Self-Organizing Incremental Moving Points Convolutional Neural Network

Yuta Kobayashi (Nihon University)*; Yukari Yamauchi (Nihon University)

17:45–18:00Paper ID: 48Abstract-only paper

Hybrid Hyperparameter Adjustment of Evolving Fuzzy Systems for Non-Stationary Forecasting

Sebastian Vanegas-Ayala (Universidad Distrital Francisco Jos? de Caldas)*; Daniel-David Leal-Lara (Universidad Distrital Francisco Jos? de Caldas); ROBERTO-ALBEIRO PAVA-DIAZ (Universidad Distrital Francisco Jos? de Caldas)

Presentations finish at 18:00. The scheduled session ends at 18:20.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.