Divergent search for image classification behaviors
Abstract

References
Index Terms
- Divergent search for image classification behaviors
Recommendations
Surprise Search: Beyond Objectives and Novelty
GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016Grounded in the divergent search paradigm and inspired by the principle of surprise for unconventional discovery in computational creativity, this paper introduces surprise search as a new method of evolutionary divergent search. Surprise search is ...
Confidence-adapted meta-interaction for unsupervised person re-identification
AbstractMost unsupervised person re-identification (ReID) approaches combine clustering-based pseudo-label prediction with feature learning, and perform the two steps in an alternating fashion for training ReID models. However, incorrect/noisy pseudo-...
Enhancing Divergent Search through Extinction Events
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary ComputationA challenge in evolutionary computation is to create representations as evolvable as those in natural evolution. This paper hypothesizes that extinction events, i.e. mass extinctions, can significantly increase evolvability, but only when combined with ...
Comments
Information & Contributors
Information
Published In

Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Poster
Funding Sources
- IC president's scholarship
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 41Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in