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143
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ICCV
2003
IEEE
15 years 7 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
125
Voted
APSEC
2007
IEEE
15 years 9 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...
116
Voted
HCI
2009
15 years 10 days ago
Agent-Based Driver Abnormality Estimation
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
Tony Poitschke, Florian Laquai, Gerhard Rigoll
108
Voted
IFIP
2009
Springer
15 years 8 days ago
A User Interface for a Game-Based Protocol Verification Tool
We present a platform that allows a protocol researcher to specify the sequence of games from an initial protocol to a protocol where the security property under consideration can ...
Peeter Laud, Ilja Tsahhirov
HCI
2011
14 years 6 months ago
Proposal of BCM Evaluation Method Based on Disaster Scenario Simulation
Almost 20% of big earthquakes in the world occur in Japan. It becomes impossible for private companies and governments to carry out their business if they suffer from severe damage...
Ryuhei Kaneko, Yoshio Nakatani