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» A Training Method with Small Computation for Classification
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PPSN
2010
Springer
13 years 6 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
ICPR
2010
IEEE
13 years 5 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
ICCV
2007
IEEE
14 years 9 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CHINZ
2005
ACM
13 years 9 months ago
Graphical abstract help
re the use of abstracted screenshots as part of a new help interface. Graphstract, an implementation of a graphical help system, extends the ideas of textually oriented Minimal Ma...
Jeff Huang, Bo Lu, Michael B. Twidale
CHI
2008
ACM
14 years 8 months ago
One-handed touchscreen input for legacy applications
Supporting one-handed thumb operation of touchscreenbased mobile devices presents a challenging tradeoff between visual expressivity and ease of interaction. ThumbSpace and Shift-...
Amy K. Karlson, Benjamin B. Bederson