A discriminant-based framework for automatic recognition of online handwriting data is presented in this paper. We identify the substrokes that are more useful in discriminating b...
Karteek Alahari, Satya Lahari Putrevu, C. V. Jawah...
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
This paper presents part of a new DIA performance analysis framework aimed at Layout Analysis algorithm developers. A new region-representation scheme (an interval-based descripti...
One of the problems faced by an organisation participating in a virtual enterprise is how to specify internal and external aspects of the organisation in terms of the organisation...