Johannes Twiefel

2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Johannes Twiefel's perspective

Ordered by how strongly the researchers Johannes Twiefel trusts endorse each paper. Same corpus, a different order for every researcher.

1. Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
2. Reinforcement Learning: An Introduction
3. A self-organising network that grows when required
4. Self-organizing neural integration of pose-motion features for human action recognition
5. Policy Shaping: Integrating Human Feedback with Reinforcement Learning
6. Binary codes capable of correcting deletions, insertions, and reversals
7. Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes
8. Audio/video fusion for objects recognition
9. “Your Word is my Command”: Google Search by Voice: A Case Study
10. Self-organized formation of topologically correct feature maps

Their papers

• Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario (2016) — 38 citations