Saturday 6 September 2014

journal publication on conformal prediction for proximity data

The paper Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data
published at Pattern Recognition is now online. We propose a conformal classifier for
multi-class semi-supervised learning of proximity data.
Update: The article won the College best publication award of the University of Birmingham College of Engineering and Physical Sciences

Publication at ICANN 2014

Accepted paper at ICANN 2014 about Discriminative Fast Soft Competitive Learning
The approach extends relational Soft Competitive Learning (aka Relational Neural Gas) by a supervised learning scheme which is more reliable than former approaches. The method can
be used to get a (semi-) supervised clustering of (large) proximity matrices.