Emerging Trends in Machine Learning for Signal Processing von Papakostas, George A., Diamantaras, Konstantinos I., Palmieri, Francesco A. N.

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CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification von Yu, Yinan, Diamantaras, Konstantinos I., McKelvey, Tomas, Kung, Sun-Yuan

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Efficient binary classification through energy minimisation of slack variables von Kotti, Margarita, Diamantaras, Konstantinos I.

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Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition von Scherer, Dominik, Müller, Andreas, Behnke, Sven

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Applying PCA neural models for the blind separation of signals von Diamantaras, Konstantinos I., Papadimitriou, Theophilos

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An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems von Diamantaras, K.I., Papadimitriou, T.

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A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture von Diamantaras, Konstantinos I.

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Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources von Diamantaras, K.I., Papadimitriou, T.

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From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing von Zampoglou, Markos, Papadimitriou, Theophilos, Diamantaras, Konstantinos I.

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Exploring the effect of data reduction on Neural Network and Support Vector Machine classification von Ougiaroglou, Stefanos, Diamantaras, Konstantinos I., Evangelidis, Georgios

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Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures von Diamantaras, K.I., Papadimitriou, T.

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Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines von Fischer, Asja, Igel, Christian

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Blind MIMO FIR channel identification based on second-order spectra correlations von Bradaric, I., Petropulu, A.P., Diamantaras, K.I.

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Blind separation of three binary sources from one nonlinear mixture von Diamantaras, Konstantinos I, Papadimitriou, Theophilos

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Separating two binary sources from a single nonlinear mixture von Diamantaras, Konstantinos I, Papadimitriou, Theophilos

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Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks von Baccouche, Moez, Mamalet, Franck, Wolf, Christian, Garcia, Christophe, Baskurt, Atilla

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Blind channel identification based on the geometry of the received signal constellation von Diamantaras, K.I.

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Self-Organizing Incremental Neural Network and Its Application von Shen, Furao, Hasegawa, Osamu

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Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening von Diamantaras, Konstantinos I., Papadimitriou, Theophilos

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Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics von Diamantaras, K.I., Petropulu, A.P., Binning Chen

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