Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Efficient query processing in geographic information systems
Efficient query processing in geographic information systems
The ARC/INFO geographic information system
Computers & Geosciences - Special issue on GIS design models
ACM SIGMOD Record
The nature of statistical learning theory
The nature of statistical learning theory
Spatial SQL: A Query and Presentation Language
IEEE Transactions on Knowledge and Data Engineering
An Example of Knowledge-Based Query Processing in a CAD/CAM DBMS
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
Topological Relations Between Regions in R² and Z²
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Hybrid independent component analysis and support vector machine learning scheme for face detection
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
A novel spatial index for case based geographic retrieval
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
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A large proportion of the information can be regarded as spatial data which is spatial position related. For accessing spatial databases, different query specification techniques have been proposed. But traditional query methods are tedious and cannot realize fuzzy query. A content-based spatial data retrieval system is presented to afford users a sketch interface which has the ability to accept fuzzy retrieval. Firstly the retrieval algorithm builds the spatial topological vector by refining the 9-intersection model metrically. Then the independent topological relations are extracted by training ICA assisted fuzzy SVMs, which can remove redundancy among the binary relations and reduce the dimension in complex spatial scene. In query processing the tftimesidf model is referenced, and the similarity is calculated by cosine distance function on the weight vectors of the query scene and each of spatial scenes in database. The experimental results show the recall factor and precision factor are improved compared with the query method without ICA and SVM.