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» Standardized Evaluation Method for Web Clustering Results
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NIPS
2007
15 years 3 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ICCV
2007
IEEE
15 years 5 months ago
Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was develope...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
CIKM
2006
Springer
15 years 3 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
108
Voted
WWW
2005
ACM
16 years 2 months ago
Disambiguating Web appearances of people in a social network
Say you are looking for information about a particular person. A search engine returns many pages for that person's name but which pages are about the person you care about, ...
Ron Bekkerman, Andrew McCallum
SIGIR
2003
ACM
15 years 7 months ago
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
Wei Xu, Xin Liu, Yihong Gong