Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning

An application of recurrent nets to phone probability estimation

This paper presents an application of recurrent networks for phone probability estimation in large vocabulary speech recognition. The need for efficient exploitation of context ...

Network In Network

Abstract: We propose a novel deep network structure called In Network (NIN) to enhance model discriminability for local patches within the receptive field. The conventional con...

Input feature selection by mutual information based on Parzen window

Mutual information is a good indicator of relevance between variables, and have been used as a measure in several feature selection algorithms: However, calculating the mutual i...

Emerging Properties in Self-Supervised Vision Transformers

In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond t...