An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
dg.o '06 Proceedings of the 2006 international conference on Digital government research
MapCruncher: integrating the world's geographic information
ACM SIGOPS Operating Systems Review - Systems work at Microsoft Research
Geospatial Visualization using Google Maps: A Case Study on Conference Presenters
IMSCCS '07 Proceedings of the Second International Multi-Symposiums on Computer and Computational Sciences
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ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
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Digital map is getting increasingly popular as an intuitive and interactive platform for data presentation recently. Thus applications integrated with digital map have attracted much attention. But no offtheshelf systems or services could we use if the time span of maps be extended to historical ones. There are a large number of valuable ancient atlases in CADAL digital library. However, they are seldom made use of because the ones which are in image format are not convenient for users to read or search. In this paper, we propose a novel hybrid approach to utilizing these atlases directly and constructing some applications based on ancient maps. We call it CAMAME which means Chinese Ancient Maps Automatic Marking and Extraction. We create a gazetteer to store the geographic information of sites which will be project on the map, then use kernel method to do the regression and correct the estimated results with image processing and local regression methods. The empirical results show that CAMAME is effective and efficient, by which most valuable data in the map images is marked and identified. Some Chinese literary chronicle applications that exhibit ancient literary and related historical information over those digitized atlas resources in CADAL digital library were developed.