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IJCNN
2000
IEEE
15 years 8 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
138
Voted
ANLP
1992
148views more  ANLP 1992»
15 years 5 months ago
The ACQUILEX LKB: representation issues in semi-automatic acquisition of large lexicons
We describe the lexical knowledge base system (LKB) which has been designed and implemented as part of the ACQUILEX project1 to allow the representation of multilinguM syntactic a...
Ann A. Copestake
104
Voted
IJON
2000
61views more  IJON 2000»
15 years 3 months ago
Encoding multiple orientations in a recurrent network
Models containing recurrent connections amongst the cells within a population can account for a range of empirical data on orientation selectivity in striate cortex. However, exis...
Richard S. Zemel, Jonathan Pillow
SPATIALCOGNITION
2000
Springer
15 years 7 months ago
Schematic Maps for Robot Navigation
An approach to high-level interaction with autonomous robots by means of schematic maps is outlined. Schematic maps are knowledge representation structures to encode qualitative s...
Christian Freksa, Reinhard Moratz, Thomas Barkowsk...
VISUAL
2000
Springer
15 years 7 months ago
Content-Based Image Retrieval by Relevance Feedback
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
Zhong Jin, Irwin King, Xuequn Li