Eduard Säckinger

Statistical Learning Theory · 1993–2005

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 394 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it

Whom Eduard Säckinger trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Govind P. Agrawal

Who trusts Eduard Säckinger overall

1. René-Jean Essiambre

Papers from Eduard Säckinger's perspective

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

1. Pattern classification and scene analysis
2. A training algorithm for optimal margin classifiers
3. Generalization and network design strategies
4. Neural Networks for Fingerprint Recognition
5. Efficient Pattern Recognition Using a New Transformation Distance
6. Handwritten zip code recognition with multilayer networks
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Signature Verification Using A "Siamese" Time Delay Neural Network (1993)
• Comparison of learning algorithms for handwritten digit recognition (1995)
• Learning algorithms for classification: A comparison on handwritten digit recognition (1995)
• Broadband Circuits for Optical Fiber Communication: Säckinger/Broadband (2005) — 215 citations
• Broadband Circuits for Optical Fiber Communication (2005) — 458 citations
• Comparison of classifier methods: a case study in handwritten digit recognition (1994)