Searching for authors named "Ying Zhao" – sorted by Relevance.
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ABSTRACT Soft Clustering Criterion Functions for Partitional Document Clustering: A Summary of Results
- of Results Ying Zhao University of Minnesota, Department of Computer Science and Engineering Minneapolis
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Improved Segmentation and Extrapolation for Block-Based Shape-Adaptive Image Coding
- properties to overcome the problems stated above. Generally, such a system consists of Ying Zhao and David
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Prediction of Contact Maps Using Support Vector Machines
- Prediction of Contact Maps Using Support Vector Machines ∗ Ying Zhao and George Karypis Department
- Cited by 7 (0 self) – Add To MetaCart
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Effective and Scalable Authorship Attribution Using Function Words
- Effective and Scalable Authorship Attribution Using Function Words Ying Zhao Justin Zobel School
- Cited by 3 (0 self) – Add To MetaCart
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Soft Clustering Criterion Functions for Partitional Document Clustering
- Soft Clustering Criterion Functions for Partitional Document Clustering # Ying Zhao University
- Cited by 1 (0 self) – Add To MetaCart
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Improving precategorized collection retrieval by using supervised term weighting schemes
- by Using Supervised Term Weighting Schemes Ying Zhao and George Karypis December 10, 2001 Improve
- Cited by 2 (0 self) – Add To MetaCart
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Criterion Functions for Document Clustering: Experiments and Analysis
- Criterion Functions for Document Clustering ∗ Experiments and Analysis Ying Zhao and George
- Cited by 89 (4 self) – Add To MetaCart
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Evaluation of Hierarchical Clustering Algorithms for Document Datasets
- Evaluation of Hierarchical Clustering Algorithms for Document Datasets ∗ Ying Zhao and George
- Cited by 79 (4 self) – Add To MetaCart
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Clustering in Life Sciences
- Clustering in Life Sciences Ying Zhao and George Karypis Department of Computer Science
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Hierarchical Clustering Algorithms for Document Datasets
- Hierarchical Clustering Algorithms for Document Datasets ∗ Ying Zhao and George Karypis Department
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