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» Profiling over Adaptive Ranges
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IUI
2000
ACM
14 years 2 months ago
Learning users' interests by unobtrusively observing their normal behavior
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
Jeremy Goecks, Jude W. Shavlik
CVPR
1996
IEEE
1457views Computer Vision» more  CVPR 1996»
14 years 11 months ago
Edge Detection and Ridge Detection with Automatic Scale Selection
When computing descriptors of image data, the type of information that can be extracted may be strongly dependent on the scales at which the image operators are applied. This arti...
Tony Lindeberg
RV
2007
Springer
151views Hardware» more  RV 2007»
14 years 3 months ago
Instrumentation of Open-Source Software for Intrusion Detection
A significant number of cyber assaults are attempted against open source internet support software written in C, C++, or Java. Examples of these software packages include the Apac...
William R. Mahoney, William L. Sousan
WINET
2002
169views more  WINET 2002»
13 years 9 months ago
Centaurus: An Infrastructure for Service Management in Ubiquitous Computing Environments
In the near future, we will see dramatic changes in computing and networking hardware. A large number of devices (e.g., phones, PDAs, even small household appliances) will become c...
Lalana Kagal, Vlad Korolev, Sasikanth Avancha, Anu...
ECCV
2004
Springer
14 years 11 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath