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» Comparative analysis of biclustering algorithms
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IPCV
2008
15 years 6 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 7 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
STOC
2002
ACM
118views Algorithms» more  STOC 2002»
16 years 5 months ago
On the advantage over a random assignment
: We initiate the study of a new measure of approximation. This measure compares the performance of an approximation algorithm to the random assignment algorithm. This is a useful ...
Johan Håstad, Srinivasan Venkatesh
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 10 months ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
ICIP
2008
IEEE
15 years 11 months ago
Detection of +/-1 LSB steganography based on the amplitude of histogram local extrema
Recently Zhang et al described an algorithm for the detection of ±1 LSB steganography based on the statistics of the amplitudes of local extrema in the greylevel histogram. Exper...
Giacomo Cancelli, Gwenaël J. Doërr, Inge...