Search Results for author: Shao-Wen Yang

Found 3 papers, 0 papers with code

Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation

no code implementations16 Nov 2016 Yu-An Chung, Shao-Wen Yang, Hsuan-Tien Lin

While deep neural networks have succeeded in several visual applications, such as object recognition, detection, and localization, by reaching very high classification accuracies, it is important to note that many real-world applications demand varying costs for different types of misclassification errors, thus requiring cost-sensitive classification algorithms.

General Classification Object Recognition

Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization

no code implementations28 Oct 2016 Guang-He Lee, Shao-Wen Yang, Shou-De Lin

Specifically, by modeling and learning the deviation of data, we design a novel matrix factorization model.

Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning

no code implementations30 Nov 2015 Yu-An Chung, Hsuan-Tien Lin, Shao-Wen Yang

Deep learning has been one of the most prominent machine learning techniques nowadays, being the state-of-the-art on a broad range of applications where automatic feature extraction is needed.

General Classification

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