Electronic proceedings author index

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
Laurenz Wiskott
  • ESANN 2012 - An analysis of Gaussian-binary restricted Boltzmann machines for natural images [Details]
  • ESANN 2014 - Learning predictive partitions for continuous feature spaces [Details]
Axel Wismueller
  • ESANN 2009 - A computational framework for exploratory data analysis [Details]
  • ESANN 2009 - The Exploration Machine - a novel method for structure-preserving dimensionality reduction [Details]
Axel Wismueller
  • 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]
Axel Wismüller
  • ESANN 2004 - Theory and applications of neural maps [Details]
A. Wismüller
  • 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]
Philipp Wissmann
  • ESANN 2024 - Why long model-based rollouts are no reason for bad Q-value estimates [Details]
Philipp Wissmann
  • ESANN 2025 - Is Q-learning an Ill-posed Problem? [Details]
  • ESANN 2026 - Efficient and Resilient Machine Learning for Industrial Applications [Details]
  • ESANN 2026 - Point-wise Q-value maximization for converging Q-learning in continuous state-spaces [Details]
U. Witkowski
  • ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
Aree Witoelar
  • 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]
Pedrycz Witold
  • 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]
Peter Wittek
  • 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]
Peter Wittek
  • ESANN 2020 - Modular Length Control for Sentence Generation [Details]
Marc Wittmann
  • ESANN 2011 - Time Experiencing by Robotic Agents [Details]
C. Wöhler
  • 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]
Piotr Iwo Wójcik
  • ESANN 2017 - Random projection initialization for deep neural networks [Details]
C. Wolff
  • ESANN 2002 - PCNN neurocomputers - Event driven and parallel architectures [Details]
moritz wolter
  • ESANN 2020 - Object-centered Fourier Motion Estimation and Segment-Transformation Prediction [Details]
  • ESANN 2024 - On the Stability of Neural Segmentation in Radiology [Details]
Andreas Wombacher
  • ESANN 2014 - Comparison of local and global undirected graphical models [Details]
Daegun Won
  • ESANN 2018 - Temporal transfer learning for drift adaptation [Details]
C.K. Wong
  • ESANN 2001 - A local search method for pattern classification [Details]
J. Wood
  • ESANN 1995 - Neural networks for invariant pattern recognition [Details]
R. Woodburn
  • ESANN 2001 - Matching analogue hardware with applications using the Products of Experts algorithm [Details]
F. Wörgörter
  • ESANN 1995 - Improving object recognition by using a visual latency mechanism [Details]
F. Wörgötter
  • ESANN 1995 - Latency-reduction in antagonistic visual channels as the result of corticofugal feedback [Details]
  • ESANN 1995 - Spatial summation in simple cells: computational and experimental results [Details]
  • ESANN 1999 - Neural field description of state-dependent receptive field changes in the visual cortex [Details]
Nils Worzyk
  • ESANN 2018 - Properties of adv−1 – Adversarials of Adversarials [Details]
Nils Worzyk
  • ESANN 2020 - Adversarials-1 in Speech Recognition: Detection and Defence [Details]
Fabien Wouters
  • ESANN 2005 - clustering using a random walk based distance measure [Details]
David Wright
  • ESANN 2006 - Freeform surface induction from projected planar curves via neural networks [Details]
Shunjun Wu
  • ESANN 2005 - A neural network approach of ultra-wideband nearfield adaptive beamforming [Details]
  • ESANN 2005 - UWB radar target identification based on linear RBFNN [Details]
Lin Wu
  • ESANN 2005 - SVM and pattern-enriched common fate graphs for the game of go [Details]