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» Managing Complexity in Large Learning Robotic Systems
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CVPR
2006
IEEE
14 years 10 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
SPLC
2004
13 years 9 months ago
Observations from the Recovery of a Software Product Family
The problem of managing the evolution of complex and large software systems is well known. Evolution implies reuse and modification of existing software artifacts, and this means t...
Patricia Lago, Hans van Vliet
IROS
2007
IEEE
143views Robotics» more  IROS 2007»
14 years 2 months ago
Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams
— Any system that has the capability to diagnose and recover from faults is considered to be a fault-tolerant system. Additionally, the quality of the incorporated fault-toleranc...
Balajee Kannan, Lynne E. Parker
ALT
2001
Springer
14 years 11 days ago
Learning Coherent Concepts
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
Ashutosh Garg, Dan Roth
ITICSE
2010
ACM
13 years 8 months ago
Hands-on approach to teaching wireless sensor networks at the undergraduate level
Teaching wireless sensor networks (WSNs) at the undergraduate level is both challenging and rewarding. WSNs include low-level programming and debugging, power-aware operations, no...
Anna Förster, Mehdi Jazayeri