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» Approximation Techniques for Spatial Data
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EMNLP
2006
15 years 6 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran
ICML
2008
IEEE
16 years 5 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
BMCBI
2008
125views more  BMCBI 2008»
15 years 5 months ago
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain
Background: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing effort...
Christopher Lau, Lydia Ng, Carol Thompson, Sayan D...
APGV
2009
ACM
196views Visualization» more  APGV 2009»
15 years 11 months ago
Effects of animation, user-controlled interactions, and multiple static views in understanding 3D structures
Visualizations of 3D spatial structures use various techniques such as user controlled interactions or 2D projection views to convey the structure to users. Researchers have shown...
Taylor Sando, Melanie Tory, Pourang Irani
135
Voted
TMI
2002
96views more  TMI 2002»
15 years 4 months ago
Imaging of spatiotemporal coincident states by DC optical tomography
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
Harry L. Graber, Yaling Pei, Randall L. Barbour