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ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 8 months ago
Horizontal Reduction: Instance-Level Dimensionality Reduction for Similarity Search in Large Document Databases
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
Min-Soo Kim 0001, Kyu-Young Whang, Yang-Sae Moon
CVPR
1997
IEEE
14 years 7 months ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
13 years 11 months ago
Multi-dimensional Histograms with Tight Bounds for the Error
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
ICCV
2003
IEEE
14 years 7 months ago
Image Spaces and Video Trajectories: Using Isomap to Explore Video Sequences
Dimensionality reduction techniques seek to represent a set of images as a set of points in a low dimensional space. Here we explore a video representation that considers a video ...
Robert Pless
ICRA
1998
IEEE
101views Robotics» more  ICRA 1998»
13 years 10 months ago
An Approach to Reduction of Hysteresis in Smart Materials
This paper addresses the problem of reducing the hysteresis found in the actuation of most smart materials. They are divided in two groups: systems with no saturation (e.g. piezoe...
Juan Manuel Cruz-Hernández, Vincent Hayward