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» On effective classification of strings with wavelets
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KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 5 months ago
On effective classification of strings with wavelets
In recent years, the technological advances in mapping genes have made it increasingly easy to store and use a wide variety of biological data. Such data are usually in the form o...
Charu C. Aggarwal
AUSAI
2007
Springer
13 years 8 months ago
Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Len
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
Kyongho Min, William H. Wilson, Byeong Ho Kang
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
13 years 2 months ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
IJCNN
2007
IEEE
13 years 11 months ago
Image Classification Using Wavelet Coefficients in Low-pass Bands
— In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large...
Weibao Zou, Yan Li
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 4 months ago
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
Fionn Murtagh, Jean-Luc Starck