The nature of statistical learning theory
The nature of statistical learning theory
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
SketchIT: a Sketch Interpretation Tool for Conceptual Mechanical Design
SketchIT: a Sketch Interpretation Tool for Conceptual Mechanical Design
MathPad2: a system for the creation and exploration of mathematical sketches
ACM SIGGRAPH 2004 Papers
A Parsing Technique for Sketch Recognition Systems
VLHCC '04 Proceedings of the 2004 IEEE Symposium on Visual Languages - Human Centric Computing
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Sketch Retrieval Based on Spatial Relations
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
A Hybrid HMM-SVM Method for Online Handwriting Symbol Recognition
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Recognition of hand drawn chemical diagrams
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
CSTutor: a pen-based tutor for data structure visualization
Proceedings of the 43rd ACM technical symposium on Computer Science Education
Interest of syntactic knowledge for on-line flowchart recognition
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
CSTutor: A Sketch-Based Tool for Visualizing Data Structures
ACM Transactions on Computing Education (TOCE)
| Hi-index | 0.00 |
The electronic white board and the tablet PC are bringing new technologies to modern education. This paper presents a pen-based flowchart recognition system for programming teaching, which uses hybrid SVM-HMM algorithm for sketch recognition. In this algorithm, ICA is used to reduce the dimension of features, a set of fuzzy SVMs are used as preliminary feature classifiers to produce fix length feature vector, which acts as a probability evaluator in the hidden states of Hidden Markov Models, and HMMs are employed as finally classifiers to recognize the unknown pattern. Experiment results show the hybrid algorithm has good learning and recognition ability. And based on this algorithm, an intelligent whiteboard system for programming teaching is designed to identify the sketches into the programming flowchart, and finally converts it into C language programs. User's evaluation shows it is natural for the teachers and the students with a flexible and effective interactive teaching pattern. Therefore, such system brings a new programming teaching patterns and help students to stride the obstacle between the flowchart and the programming language. Students can learn the abstract programming idea and the concrete coding skills effectively and efficiently by the visual comparative learning assisted by the intelligent whiteboard system.