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ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
16 years 9 hour ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock
ATAL
2004
Springer
15 years 12 months ago
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots
Adaptation is an essential requirement for self–organizing multi–agent systems functioning in unknown dynamic environments. Adaptation allows agents, e.g., robots, to change th...
Aram Galstyan, Kristina Lerman
ICSE
2010
IEEE-ACM
15 years 11 months ago
A degree-of-knowledge model to capture source code familiarity
The size and high rate of change of source code comprising a software system make it difficult for software developers to keep up with who on the team knows about particular parts...
Thomas Fritz, Jingwen Ou, Gail C. Murphy, Emerson ...
ASPDAC
2007
ACM
133views Hardware» more  ASPDAC 2007»
15 years 10 months ago
Modeling Sub-90nm On-Chip Variation Using Monte Carlo Method for DFM
- For sub-90nm technology nodes and below, random fluctuations of within-die physical process properties are also known as random on-chip variation (OCV). It impacts on the VLSI/So...
Jun-Fu Huang, Victor C. Y. Chang, Sally Liu, Kelvi...
UAI
1996
15 years 7 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon