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- ArticleAugust 2023
EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification
Knowledge Science, Engineering and ManagementPages 354–365https://doi.org/10.1007/978-3-031-40283-8_30AbstractFew-shot classification, which belongs to a popular direction in few-shot learning, can be said to bridge the gap between human intelligence and machine models at present, aiming at rapid classification of new classes encountered in downstream ...
- research-articleNovember 2020
On the Relationship between Seasons of the Year and Disaggregation Performance
NILM'20: Proceedings of the 5th International Workshop on Non-Intrusive Load MonitoringPages 70–74https://doi.org/10.1145/3427771.3427856This paper pursues the question of how seasons of the year affect disaggregation performance in Non-Intrusive Load Monitoring. To this end, we select the dishwasher, a common household appliance that may exhibit usage cycles depending on the user. We ...
- ArticleNovember 2008
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
IDEAL '08: Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated LearningPages 72–79https://doi.org/10.1007/978-3-540-88906-9_10In this paper, a new method for license plate detection based on AdaBoost is proposed. In the proposed method, auto-correlation feature, which is ignored by previous learning-based method, is introduced to feature pool. Since that there are two types of ...