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» A Support Vector Clustering Method
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139
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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 23 days ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
127
Voted
DATAMINE
2006
157views more  DATAMINE 2006»
15 years 3 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
139
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TIFS
2008
194views more  TIFS 2008»
15 years 3 months ago
Detection of Double-Compression in JPEG Images for Applications in Steganography
This paper presents a method for detection of double JPEG compression and a maximum likelihood estimator of the primary quality factor. These methods are essential for construction...
Tomás Pevný, Jessica J. Fridrich
118
Voted
AINA
2007
IEEE
15 years 10 months ago
Detecting Coordinated Distributed Multiple Attacks
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...
Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Ba...
145
Voted
WCE
2007
15 years 4 months ago
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...