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 Introduction to Machine Learning 10701
Independent Component Analysis Barnabás Póczos & Aarti Singh . 2 Independent Component Analysis ... edge detection, receptive fields of V1 cells..., deep neural networks ... natural images . 13 STATIC • Image denoising • Microarray data processing • Decomposing the spectra of galaxies • Face recognition • Facial expression ......
Face Recognition: From Traditional to Deep Learning Methods
Fig. 2: Face recognition building blocks. face recognition research, as CNNs are being used to solve many other computer vision tasks, such as object detection and recognition, segmentation, optical character recognition, facial expression analysis, age estimation, etc. Face recognition systems are usually composed of the following building blocks:...
Improving clustering performance using independent ...
To provide a parsimonious clustering pipeline that provides comparable performance to deep learning-based clustering methods, but without using deep learning algorithms, such as autoencoders. Clustering was performed on six benchmark datasets, consisting of five image datasets used in object, face, digit recognition tasks (COIL20, COIL100, CMU-PIE, USPS, and MNIST) and one text document ...
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