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ACIVS
2006
Springer
14 years 27 days ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
IICAI
2003
13 years 10 months ago
Belief Augmented Frame Sets for Knowledge Representation in Spoken Dialog Systems
We propose a frame structure that is augmented with belief functions to model knowledge in a spoken dialog system. In addition we propose methods to combine belief functions in the...
Colin Keng-Yan Tan, Kim-Teng Lua
KCAP
2005
ACM
14 years 2 months ago
Collaboratory testbed partnerships as a knowledge capture challenge
The difficulty of maintaining effective testbed partnerships, among users of computer-based tools and builders of those tools, has been an obstacle to the success of science colla...
Mary A. Keeler, Heather D. Pfeiffer
AAAI
2007
13 years 11 months ago
ASKNet: Automatically Generating Semantic Knowledge Networks
The ASKNet project uses a combination of NLP tools and spreading activation to transform natural language text into semantic knowledge networks. Network fragments are generated fr...
Brian Harrington
HCI
2007
13 years 10 months ago
Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks
To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets...
Markus Ablaßmeier, Tony Poitschke, Stefan Re...