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» Extracting k most important groups from data efficiently
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IGARSS
2010
14 years 7 months ago
Parallel implementation of the N-FINDR endmember extraction algorithm on commodity graphics processing units
Endmember extraction is an important technique in the context of spectral unmixing of remotely sensed hyperspectral data. Winter's N-FINDR algorithm is one of the most widely...
Sergio Sánchez, Gabriel Martin, Antonio J. ...
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
15 years 23 days ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
DIS
2001
Springer
15 years 1 months ago
Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
Rapid growth of digital data collections is overwhelming the capabilities of humans to comprehend them without aid. The extraction of useful data from large raw data sets is someth...
Lida Tang, Ben Shneiderman
EJC
2008
14 years 11 months ago
An Efficient Method for Quick Construction of Web Services
With the development of the Internet, Web services, such as Google Maps API and YouTube Data API, become more important and convenient for the Web knowledge distribution and integr...
Hao Han, Yohei Kotake, Takehiro Tokuda
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
15 years 9 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee