CHENNAI:

CHENNAI MUMBAI DELHI BANGLORE RAJASTHAN PUNJAB HYDRABAD KOLKATTA

CHENNAI SUPERKINS HISTORY:

Coach:New Zealand Stephen Fleming Bowling coach:Australia Andy Bichel
Fielding coach: Australia SteveRixon Captain:India Mahendra Singh Dhoni
Colours:CSK Founded: 2008 Home ground: M. A. Chidambaram Stadium(Capacity: 50,000)
Owner: India Cements Indian Premier League wins:2 (2010, 2011)Champions League T20 wins: =1 (2010)
Official website:www.chennaisuperkings.com

PCA and its Variants:
PCA implements the
Karhunen-Loève (KL)transform, a classical unsupervised second-order
method that uses the covariance matrix’s eigenvaluesand eigenvectors to transform the feature
space, creating orthogonal uncorrelated features.We use five different variations of the KL
transform: KL1 (the original PCA) through KL5.The difference between each is how we choose thecomponents that will compose the feature vectorsand how we incorporate additional informationfor each class. For instance, the eigenvectors aren’tcalculated from the mixture’s covariance
matrix,of each class (Sw). Alternatively, we can order thefeatures according to an entropy-based criterion.The main advantage of these PCA variants overindependent componentanalysis (ICA) is thatthey let us incorporate statistical knowledge fromeach class (such as class conditional means, variances,and covariances) in the feature-extractionstep and thus define supervised methods. (Moredetails about PCA and its variants are available.

Classifier Combination
Multiclassifier fusion integrates multiple classifierstogether to improve classification accuracy.
Researchers have successfully adopted thismethod in many pattern recognition applications,including audio classification, handwriting recognition,and speech recognition. However, classifiercombinations for face recognition problemshave yet to be deeply investigated. The reasonthis approach improves classification performanceis simple: each individual classifier is supposed toproduce classification errors that are assumed tobe uncorrelated.7 Therefore, combining classifiersthat are complementary to each other could helpthe entire system capture additional informationunachievable by a single classifier. As a result, thisreduces the overall Basically, when building an ensemble of classifiers,we can vary four levels:
• the combination level, using different combination
strategies;
• the classifier level, usin

CHENNAI MUMBAI DELHI BANGLORE RAJASTHAN PUNJAB HYDRABAD KOLKATTA