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» Learning the Relative Importance of Features in Image Data
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EMMCVPR
2007
Springer
15 years 10 months ago
3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
This study extended the computation of GLCM (gray level co-occurrence matrix) to a three-dimensional form. The objective was to treat hyperspectral image cubes as volumetric data s...
Fuan Tsai, Chun-Kai Chang, Jian-Yeo Rau, Tang-Huan...
ITCC
2005
IEEE
15 years 10 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
JGS
2002
78views more  JGS 2002»
15 years 4 months ago
Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the tran...
Mark L. Wilson
WWW
2008
ACM
16 years 5 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak