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EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 12 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
CVPR
2005
IEEE
14 years 1 months ago
A Slit Scanning Depth of Route Panorama from Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes...
Min Shi, Jiang Yu Zheng
ICCV
2007
IEEE
14 years 9 months ago
Deformable Image Mosaicing for Optical Biopsy
Traditional image mosaicing usually relies on rigid image transformations. In many medical applications, however, tissue deformation during image acquisition or 3D parallax effect...
Kevin E. Loewke, David B. Camarillo, Kenneth Salis...
OR
2010
Springer
13 years 6 months ago
Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5
Cropping systems models have evolved over the last four decades in response to the demand for modeling to address more complex questions, including issues on sustainable productio...
Cheryl H. Porter, J. W. Jones, S. Adiku, A. J. Gij...
COGSR
2011
105views more  COGSR 2011»
13 years 2 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann