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» Identifying Clusters from Positive Data
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160
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VIS
2008
IEEE
137views Visualization» more  VIS 2008»
16 years 3 months ago
Importance-Driven Time-Varying Data Visualization
The ability to identify and present the most essential aspects of time-varying data is critically important in many areas of science and engineering. This paper introduces an impor...
Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
79
Voted
ICPR
2000
IEEE
16 years 3 months ago
OCR with No Shape Training
We present a document-specific OCR system and apply it to a corpus of faxed business letters. Unsupervised classification of the segmented character bitmaps on each page, using a ...
Tin Kam Ho, George Nagy
CMSB
2006
Springer
15 years 6 months ago
Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis
Abstract. The important research objective of identifying genes with similar behavior with respect to different conditions has recently been tackled with biclustering techniques. I...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ESWS
2008
Springer
15 years 4 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
126
Voted
NPC
2004
Springer
15 years 7 months ago
Online Mining in Sensor Networks
Online mining in large sensor networks just starts to attract interest. Finding patterns in such an environment is both compelling and challenging. The goal of this position paper ...
Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, D...