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ACCV
2009
Springer
15 years 9 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
EMS
2008
IEEE
15 years 9 months ago
Rough Set Generating Prediction Rules for Stock Price Movement
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
Hameed Al-Qaheri, Shariffah Zamoon, Aboul Ella Has...
SISAP
2008
IEEE
98views Data Mining» more  SISAP 2008»
15 years 9 months ago
On Reinsertions in M-tree
In this paper we introduce a new M-tree building method, utilizing the classic idea of forced reinsertions. In case a leaf is about to split, some distant objects are removed from...
Jakub Lokoc, Tomás Skopal
VTS
2007
IEEE
143views Hardware» more  VTS 2007»
15 years 9 months ago
RTL Test Point Insertion to Reduce Delay Test Volume
In this paper, a novel test point insertion methodology is presented for RTL designs that aims to reduce the data volume of scan-based transition delay tests. Test points are iden...
Kedarnath J. Balakrishnan, Lei Fang
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 9 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski