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» Managing Complexity in Large Learning Robotic Systems
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CHI
2007
ACM
14 years 8 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...
ESANN
2006
13 years 9 months ago
Classification by means of Evolutionary Response Surfaces
Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
Rafael del Castillo Gomariz, Nicolás Garc&i...
KBSE
2008
IEEE
14 years 2 months ago
Using Cluster Analysis to Improve the Design of Component Interfaces
For large software systems, interface structure has an important impact on their maintainability and build performance. For example, for complex systems written in C, recompilatio...
Rahmat Adnan, Bas Graaf, Arie van Deursen, Joost Z...
IM
2003
13 years 9 months ago
Facilitating Efficient and Reliable Monitoring through HAMSA
: Monitoring is a fundamental building block of any network management system. It is needed to ensure that the network operates within the required parameters, and to account for u...
David Breitgand, Danny Dolev, Danny Raz, Gleb Shav...
IJCAI
2007
13 years 9 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng