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» Learning the Relative Importance of Features in Image Data
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HPDC
2008
IEEE
15 years 11 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
16 years 4 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi
RAS
2006
169views more  RAS 2006»
15 years 4 months ago
Projecting registration error for accurate registration of overlapping range images
In this paper, we propose a novel algorithm for the automatic registration of two overlapping range images. Since it is relatively difficult to compare the registration errors of ...
Yonghuai Liu, Baogang Wei, Longzhuang Li, Hong Zho...
SCIA
2007
Springer
182views Image Analysis» more  SCIA 2007»
15 years 10 months ago
The Statistical Properties of Local Log-Contrast in Natural Images
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärine...
152
Voted
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 4 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang