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NIPS
2004
15 years 5 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
RC
2000
99views more  RC 2000»
15 years 3 months ago
Interval Constraint Plotting for Interactive Visual Exploration of Implicitly Defined Relations
Conventional plotting programs adopt techniques such as adaptive sampling to approximate, but not to guarantee, correctness and completeness in graphing functions. Moreover, implic...
Timothy J. Hickey, Zhe Qju, Maarten H. van Emden
PUC
2007
84views more  PUC 2007»
15 years 3 months ago
Interacting with mobile services: an evaluation of camera-phones and visual tags
We present a study of using camera-phones and visual-tags to access mobile services. Firstly, a userexperience study is described in which participants were both observed learning ...
Eleanor F. Toye, Richard Sharp, Anil Madhavapeddy,...
140
Voted
UIST
2010
ACM
15 years 1 months ago
Eden: supporting home network management through interactive visual tools
As networking moves into the home, home users are increasingly being faced with complex network management chores. Previous research, however, has demonstrated the difficulty many...
Jeonghwa Yang, W. Keith Edwards, David Haslem
247
Voted
CSREASAM
2006
15 years 5 months ago
User Interface Design of the Interactive Fingerprint Recognition (INFIR) System
- INFIR (Interactive Fingerprint Recognition) is an interactive fingerprint recognition and visualization tool. The tool is designed to cope with the problems related to automated ...
Sara Nasser, Sergiu Dascalu, Gregory Vert