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KDD
2007
ACM
210views Data Mining» more  KDD 2007»
14 years 3 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 3 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
ECCV
2010
Springer
14 years 2 months ago
Word Spotting in the Wild
We present a method for spotting words in the wild, i.e., in real images taken in unconstrained environments. Text found in the wild has a surprising range of difficulty. At one en...
ELPUB
2000
ACM
14 years 1 months ago
XML: Using an Evolving Standard in Electronic Publishing
XML is the proposed electronic publishing and data interchange format of the future. Currently XML is immature with little tool support, particularly for end-user World Wide Web br...
Ann Apps, Ross MacIntyre
ICASSP
2009
IEEE
14 years 4 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...