Pattern Recognition and Machine Learning
Citations
212 citations
211 citations
Cites methods from "Pattern Recognition and Machine Lea..."
...Extensive experiments are carried out in Section IV to evaluate the proposed method and compare its performance with linear support vector machine (SVM) classifier [18], kernel SVM classifier [19], as well as a sparse representation based classifier (SRC) [20]....
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211 citations
Cites methods from "Pattern Recognition and Machine Lea..."
...Since obtaining a ‘complete aging pattern’ for each individual is difficult (the case when an individual’s face images are available for all the ages of interest), they developed the ‘aging pattern subspace’ drawing inspiration from methods that develop an eigenspace [40] using incomplete data (data with missing features)....
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211 citations
Cites background from "Pattern Recognition and Machine Lea..."
...P ({μc,Λc}c=1) and P (π), it is possible to derive a set of equations that allow an iterative update of the parameters of the approximate posterior distribution [18]....
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210 citations
Cites methods from "Pattern Recognition and Machine Lea..."
...Instead of cross-validation, Bayesian inference provides an effective approach to automatically and quickly estimate the model parameters under the so-called evidence framework [35, 36]....
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