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Journal ArticleDOI

Technical Section: Using data mining for digital ink recognition: Dividing text and shapes in sketched diagrams

TLDR
The extensive evaluation on diagrams from six different domains has shown that the resulting dividers, using LADTree and LogitBoost, are significantly more accurate than three existing dividers.
About
This article is published in Computers & Graphics.The article was published on 2011-10-01. It has received 23 citations till now. The article focuses on the topics: Sketch recognition & Feature (machine learning).

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Citations
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Online recognition of sketched arrow-connected diagrams

TL;DR: A model for recognition by selection of symbol candidates, based on evaluation of relations between candidates using a set of predicates, is proposed, suitable for simpler structures where the relations are explicitly given by symbols, arrows in the case of diagrams.
Journal ArticleDOI

Combination of global and local contexts for text/non-text classification in heterogeneous online handwritten documents

TL;DR: A method to combine global and local contexts for text/non-text classification in online handwritten documents by using a simple marginal distribution and basic combination rules is presented.
Journal ArticleDOI

Enabling data mining of handwritten coursework

TL;DR: While prior work in a laboratory setting suggests that long pauses are indicative of low competence, this work shows that the frequency of long pauses during exams correlates positively with competence, and a novel approach for measuring the correctness of exam solutions from an analysis of lexical features of handwritten equations.
Journal ArticleDOI

Technical Section: A machine learning approach to automatic stroke segmentation

TL;DR: ClassySeg represents a movement away from prior, heuristic-based approaches, toward a more general and extensible technique, and is more accurate than previous techniques for both user-independent and user-optimized training conditions.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Book

Discovery of Grounded Theory: Strategies for Qualitative Research

TL;DR: The Discovery of Grounded Theory as mentioned in this paper is a book about the discovery of grounded theories from data, both substantive and formal, which is a major task confronting sociologists and is understandable to both experts and laymen.
Book

C4.5: Programs for Machine Learning

TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Book

Data Mining: Practical Machine Learning Tools and Techniques

TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.