Data-Driven Design of HMM Topology for Online Handwriting Recognition

By Jay-June Lee, Jahwan Kim, Jin Hyung Kim. 2001

55 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Minyoung Kim
2. Luca Rigazio
3. Xiaoyu Cao
4. Alexander Ororbia
5. C. Lee Giles

In Computer Vision and Pattern Recognition

1. Minyoung Kim
2. Luca Rigazio
3. Xiaoyu Cao
4. Alexander Ororbia
5. C. Lee Giles

Citations in the corpus

• Deep Clustered Convolutional Kernels (2015, methodology): “Our approach takes inspiration by previous work in the area of Gaussian kernel HMMs (Sankar, 1998; Rigazio et al., 2000; Bocchieri & Mak, 2001; Lee et al., 2001), and is philosophically based on Occam’s razor principle whereby a smaller model with similar performance on a given data-set is likely…”