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» Dimensionality Reduction with Image Data
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HPDC
2010
IEEE
14 years 11 months ago
Browsing large scale cheminformatics data with dimension reduction
Visualization of large-scale high dimensional data tool is highly valuable for scientific discovery in many fields. We present PubChemBrowse, a customized visualization tool for c...
Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey ...
ICIAR
2009
Springer
15 years 4 months ago
Three Dimensional Segmentation of Intravascular Ultrasound Data
Intravascular ultrasound (IVUS) is a useful imaging technique that can be used to assess the health of coronary arteries. However, manual segmentation of the lumen and adventia bou...
Marc Wennogle, William Hoff
ACL
2010
14 years 7 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
AIPR
2003
IEEE
15 years 3 months ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
ICCV
2007
IEEE
15 years 11 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder