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» On Combining Classifiers
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ICML
2004
IEEE
14 years 9 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
CIKM
2006
Springer
14 years 18 days ago
Knowing a web page by the company it keeps
Web page classification is important to many tasks in information retrieval and web mining. However, applying traditional textual classifiers on web data often produces unsatisfyi...
Xiaoguang Qi, Brian D. Davison
ICONIP
2009
13 years 6 months ago
A Rock Structure Recognition System Using FMI Images
Formation Micro Imager (FMI) can directly reflect changes of wall stratum and rock structures. It is also an important method to divide stratum and identify lithology. However, peo...
Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang...
ICML
2002
IEEE
14 years 9 months ago
IEMS - The Intelligent Email Sorter
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Elisabeth Crawford, Judy Kay, Eric McCreath
ISBI
2008
IEEE
14 years 9 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy