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» Mining from Large Image Sets
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MICCAI
2010
Springer
15 years 4 months ago
Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 20-24 September 2010 Extracting numerous cells in a large microscopic image...
Elena Bernardis, Stella X. Yu
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
16 years 6 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
BMCBI
2010
173views more  BMCBI 2010»
15 years 6 months ago
The Yeast Resource Center Public Image Repository: A large database of fluorescence microscopy images
Background: There is increasing interest in the development of computational methods to analyze fluorescent microscopy images and enable automated large-scale analysis of the subc...
Michael Riffle, Trisha N. Davis
KDD
1999
ACM
217views Data Mining» more  KDD 1999»
15 years 10 months ago
An Efficient Algorithm to Update Large Itemsets with Early Pruning
We present an efficient algorithm (UWEP) for updating large itemsets when new transactions are added to the set of old transactions. UWEP employs a dynamic lookahead strategy in u...
Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arku...
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 11 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang