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» On the Learnability of Vector Spaces
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DSMML
2004
Springer
15 years 3 months ago
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
Jonathan Goldstein, John C. Platt, Christopher J. ...
CIKM
2000
Springer
15 years 2 months ago
Vector Approximation based Indexing for Non-uniform High Dimensional Data Sets
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...
ICPR
2010
IEEE
14 years 10 months ago
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
Antonio Plaza, Javier Plaza
VIS
2004
IEEE
146views Visualization» more  VIS 2004»
15 years 11 months ago
Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
Christoph Garth, Xavier Tricoche, Gerik Scheuerman...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic