Boosted dynamic neural networks
Abstract
References
Recommendations
Revisiting multiple instance neural networks
We revisit the problem of solving MIL using neural networks (MINNs), which are ignored in current MIL research community. Our experiments show that MINNs are very effective and efficient.We proposed a novel MI-Net which is centered on learning bag ...
Semi-supervised Instance Matching Using Boosted Classifiers
Proceedings of the 12th European Semantic Web Conference on The Semantic Web. Latest Advances and New Domains - Volume 9088Instance matching concerns identifying pairs of instances that refer to the same underlying entity. Current state-of-the-art instance matchers use machine learning methods. Supervised learning systems achieve good performance by training on significant ...
Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks
MM '15: Proceedings of the 23rd ACM international conference on MultimediaSuccessful semantic segmentation methods typically rely on the training datasets containing a large number of pixel-wise labeled images. To alleviate the dependence on such a fully annotated training dataset, in this paper, we propose a semi- and weakly-...
Comments
Information & Contributors
Information
Published In
Sponsors
- Association for the Advancement of Artificial Intelligence
Publisher
AAAI Press
Publication History
Qualifiers
- Research-article
- Research
- Refereed limited
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0