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CVPR
2012
IEEE
13 years 5 days ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
CVPR
2006
IEEE
15 years 3 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
CHI
2005
ACM
15 years 10 months ago
Automatic generation of high coverage usability tests
Software systems are often complex in the number of features that are available through the user interface and consequently, the number of interactions that can occur. Such system...
Renée C. Bryce
CHI
2007
ACM
15 years 10 months ago
Demonstrating the viability of automatically generated user interfaces
We conducted two studies that demonstrate automatically generated interfaces can be more usable than interfaces created by human designers. The first study shows that users of aut...
Jeffrey Nichols, Duen Horng Chau, Brad A. Myers
ICMT
2009
Springer
15 years 4 months ago
Automatic Model Generation Strategies for Model Transformation Testing
Testing model transformations requires input models which are graphs of inter-connected objects that must conform to a meta-model and meta-constraints from heterogeneous sources su...
Sagar Sen, Benoit Baudry, Jean-Marie Mottu