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GRAPHICSINTERFACE
2009
9 years 11 months ago
Recognizing interspersed sketches quickly
Sketch recognition is the automated recognition of hand-drawn diagrams. When allowing users to sketch as they would naturally, users may draw shapes in an interspersed manner, sta...
Tracy Anne Hammond, Randall Davis
VLC
2008
156views more  VLC 2008»
10 years 1 months ago
An agent-based framework for sketched symbol interpretation
Recognizing hand-sketched symbols is a definitely complex problem. The input drawings are often intrinsically ambiguous, and require context to be interpreted in a correct way. Ma...
Giovanni Casella, Vincenzo Deufemia, Viviana Masca...
CG
2005
Springer
10 years 1 months ago
LADDER, a sketching language for user interface developers
Sketch recognition systems are currently being developed for many domains, but can be time consuming to build if they are to handle the intricacies of each domain. In order to aid...
Tracy Hammond, Randall Davis
AMC
2007
138views more  AMC 2007»
10 years 1 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
ECAI
2008
Springer
10 years 3 months ago
The Impact of Constraint Programming
Constraint satisfaction problems (CSPs) are ubiquitous in many real-world contexts. However, modeling a problem as a CSP can be very challenging, usually requiring considerable ex...
Pascal Van Hentenryck
ACMIDC
2008
10 years 3 months ago
Sketch-based educational games: "drawing" kids away from traditional interfaces
Computer-based games and technologies can be significant aids for helping children learn. However, most computer-based games simply address the learning styles of visual and audit...
Brandon Paulson, Brian Eoff, Aaron Wolin, Joshua J...
AAAI
2008
10 years 3 months ago
Sketch Recognition Based on Manifold Learning
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features ext...
Heeyoul Choi, Tracy Hammond
AAAI
2008
10 years 3 months ago
GLADDER: Combining Gesture and Geometric Sketch Recognition
Sketch recognition systems usually recognize strokes either as stylistic gestures or geometric shapes. Both techniques have their advantages. This paper presents a method for inte...
Paul Corey, Tracy Hammond
UIST
2004
ACM
10 years 6 months ago
SketchREAD: a multi-domain sketch recognition engine
We present SketchREAD, a multi-domain sketch recognition engine capable of recognizing freely hand-drawn diagrammatic sketches. Current computer sketch recognition systems are dif...
Christine Alvarado, Randall Davis
ICMLC
2005
Springer
10 years 6 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
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