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NIPS
2007
15 years 4 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
15 years 4 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire
CGF
2008
144views more  CGF 2008»
15 years 3 months ago
Global Intrinsic Symmetries of Shapes
Although considerable attention in recent years has been given to the problem of symmetry detection in general shapes, few methods have been developed that aim to detect and quant...
Maks Ovsjanikov, Jian Sun, Leonidas J. Guibas
CORR
2008
Springer
128views Education» more  CORR 2008»
15 years 3 months ago
Classification of curves in 2D and 3D via affine integral signatures
We propose new robust classification algorithms for planar and spatial curves subjected to affine transformations. Our motivation comes from the problems in computer image recognit...
Shuo Feng, Irina A. Kogan, Hamid Krim
CORR
2008
Springer
108views Education» more  CORR 2008»
15 years 3 months ago
Polyomino-Based Digital Halftoning
In this work, we present a new method for generating a threshold structure. This kind of structure can be advantageously used in various halftoning algorithms such as clustered-do...
David Vanderhaeghe, Victor Ostromoukhov