Introduction to Pattern Recognition: A Matlab Approach

By Sergios Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras. 2010

383 citations recorded by the source corpus.

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Physical Human Activity Recognition Using Wearable Sensors (2015, methodology): “The authors showed that Random Forest algorithm provides the highest average accuracy outperforming the SVMs and the Naive Bayes.”
Combining angular response classification and backscatter imagery segmentation for benthic biological habitat mapping (2012, methodology): “We employed nearest neighbour algorithm as described in Theodoridis et al. (2010).”
Revealing Household Characteristics from Smart Meter Data (2014, methodology): “Our implementation of SFFS relies on the code provided by the authors of [45].”
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation (2016, background): “2015 [131] W, S1, S2, S3, REM 37022 30 s epochs; WT coefficients Stacked sparse autoencoders NN 20 recordings, Sleep-EDF database EEG (Fpz-Cz) Acc 78%, mean 84%”