A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
S. Wilke
- ESANN 1999 - What does a neuron talk about ? [Details]
- ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]
- ESANN 1998 - A RNN based control architecture for generating periodic action sequences [Details]
- ESANN 2010 - Adaptive velocity tuning for visual motion estimation [Details]
- ESANN 2012 - Unsupervised learning of motion patterns [Details]
- ESANN 2013 - Learning associative spatiotemporal features with non-negative sparse coding [Details]
- ESANN 2014 - Beyond histograms: why learned structure-preserving descriptors outperform HOG [Details]
- ESANN 1998 - Speech recognition with a new hybrid architecture combining neural networks and continuous HMM [Details]
- ESANN 2007 - Classifying n-back EEG data using entropy and mutual information features [Details]
- ESANN 2001 - Texture analysis with the Volterra model using conjugate gradient optimisation [Details]
- ESANN 1999 - AdaBoost and neural networks [Details]
- ESANN 2007 - Ensemble neural classifier design for face recognition [Details]
- ESANN 2014 - Dynamic ensemble selection and instantaneous pruning for regression [Details]
- ESANN 2015 - Ensemble Learning with Dynamic Ordered Pruning for Regression [Details]
- ESANN 1997 - Bayesian online learning in the perceptron [Details]
- ESANN 2005 - Adaline-based estimation of power harmonics [Details]
- ESANN 2001 - A divide-and-conquer learning architecture for predicting unknown motion [Details]
- ESANN 2003 - Neural networks organizations to learn complex robotic functions [Details]
- ESANN 2016 - Differentiable piecewise-Bézier interpolation on Riemannian manifolds [Details]
- ESANN 2012 - An analysis of Gaussian-binary restricted Boltzmann machines for natural images [Details]
- ESANN 2014 - Learning predictive partitions for continuous feature spaces [Details]
- ESANN 2009 - A computational framework for exploratory data analysis [Details]
- ESANN 2009 - The Exploration Machine - a novel method for structure-preserving dimensionality reduction [Details]
- ESANN 2010 - Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization [Details]
- ESANN 2010 - Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning [Details]
- ESANN 2004 - Theory and applications of neural maps [Details]
- ESANN 2000 - A neural network approach to adaptive pattern analysis - the deformable feature map [Details]
- ESANN 2001 - Analysis of dynamic perfusion MRI data by neural networks [Details]
- ESANN 2002 - Exploratory Data Analysis in Medicine and Bioinformatics [Details]
- ESANN 2003 - Digital Image Processing with Neural Networks [Details]
- ESANN 2003 - Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis [Details]
- ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
- ESANN 2007 - On the dynamics of Vector Quantization and Neural Gas [Details]
- ESANN 2008 - Phase transitions in Vector Quantization [Details]
- ESANN 2009 - Equilibrium properties of off-line LVQ [Details]
- ESANN 2007 - Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology [Details]
- ESANN 2014 - An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps [Details]
- ESANN 2012 - A GPU-accelerated algorithm for self-organizing maps in a distributed environment [Details]
- ESANN 2016 - Controlling adaptive quantum-phase estimation with scalable reinforcement learning [Details]
- ESANN 2020 - Modular Length Control for Sentence Generation [Details]
- ESANN 2011 - Time Experiencing by Robotic Agents [Details]
- ESANN 1999 - Dimensionality reduction by local processing [Details]
- ESANN 1999 - Segmentation-free detection of overtaking vehicles with a two-stage time-delay neural network classifier [Details]
- ESANN 2017 - Random projection initialization for deep neural networks [Details]
- ESANN 2002 - PCNN neurocomputers - Event driven and parallel architectures [Details]
- ESANN 2020 - Object-centered Fourier Motion Estimation and Segment-Transformation Prediction [Details]
- ESANN 2014 - Comparison of local and global undirected graphical models [Details]
- ESANN 2018 - Temporal transfer learning for drift adaptation [Details]