Chan-Min Ahn

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Chan-Min Ahn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chin-Yew Lin
2. Hongyuan Zha
3. Yihong Gong

Papers from Chan-Min Ahn's perspective

Ordered by how strongly the researchers Chan-Min Ahn trusts endorse each paper. Same corpus, a different order for every researcher.

1. Document clustering based on non-negative matrix factorization
2. ROUGE: A Package for Automatic Evaluation of Summaries
3. The Automatic Creation of Literature Abstracts
4. A trainable document summarizer
5. Generic text summarization using relevance measure and latent semantic analysis (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
6. Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
7. Text summarization using a trainable summarizer and latent semantic analysis (Information Processing & Management)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Automatic generic document summarization based on non-negative matrix factorization (2009) — 163 citations