This paper presents a novel approach to writer adaptation using bottleneck features and discriminative linear regression for the recognition of online ...

This paper proposes a novel framework of writer adaptation based on deeply learned features for online handwritten Chinese character recognition. Our motivation ...

Writer Adaptation using Bottleneck Features and. Discriminative Linear Regression for Online. Handwritten Chinese Character Recognition. Jun Du, Jin-Shui Hu ...

This paper presents a novel approach to writer adaptation using bottleneck features and discriminative linear regression for the recognition of online ...

A novel framework of writer adaptation based on deeply learned features for online handwritten Chinese character recognition using a tandem architecture ...

Writer Adaptation Using Bottleneck Features and Discriminative Linear Regression for Online Handwritten Chinese Character Recognition. Resource URI: https ...

This paper presents a novel approach to writer adaptation using bottleneck features and discriminative linear regression for the recognition of online ...

Writer Adaptation Using Bottleneck Features and Discriminative Linear Regression for Online Handwritten Chinese Character Recognition ... Recognition (2014) ...

This paper presents a novel approach to writer adaptation using bottleneck features and discriminative linear regression for the recognition of online ...

This paper proposes a novel framework of writer adaptation based on deeply learned features for online handwritten Chinese character recognition.