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» Learning and prediction of slip from visual information
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ICML
2007
IEEE
14 years 10 months ago
Unsupervised prediction of citation influences
Publication repositories contain an abundance of information about the evolution of scientific research areas. We address the problem of creating a visualization of a research are...
Laura Dietz, Steffen Bickel, Tobias Scheffer
CVPR
2006
IEEE
14 years 11 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
DATAMINE
2006
139views more  DATAMINE 2006»
13 years 9 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
NIPS
2001
13 years 10 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
CBMS
2008
IEEE
14 years 3 months ago
Taking Lessons from Teleconference to Improve Same Time, Same Place Interaction
Performance on an information gathering task is shown to be superior in teleconference. Analysis of errors in an exercise revealed the data sources used in co-located and teleconf...
Bridget Kane, Saturnino Luz