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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
Finding interesting things
Model- and simulation-designers are often interested not in the optimum output of their system, but in understanding how the output is sensitive to different parameters. This can...
Sean Luke, Deepankar Sharma, Gabriel Catalin Balan
DAGM
2007
Springer
13 years 9 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
ECSCW
2001
13 years 7 months ago
On finding things out: Situating organisational knowledge in CSCW
We present a field study of an organisation which designs and constructs precision mechatronic devices, which typically integrate electronics, mechanical assemblies, computer hardw...
Kristina Groth, John Bowers
ECCV
2008
Springer
14 years 7 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
GRAPHICSINTERFACE
2003
13 years 7 months ago
Finding Things In Fisheyes: Memorability in Distorted Spaces
Interactive fisheye views use distortion to show both local detail and global context in the same display space. Although fisheyes allow the presentation and inspection of large d...
Amy Skopik, Carl Gutwin