428 search results - page 31 / 86 » An Algorithm for Intrinsic Dimensionality Estimation |
115
Voted
COMPGEOM
2009
ACM
15 years 10 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
137
Voted
ICCV
2003
IEEE
15 years 9 months ago
2003
IEEE
A new calibration algorithm for multi-camera systems using a planar reference pattern is proposed. The algorithm is an extension of Sturm-Maybank-Zhang style plane-based calibrati...
172
Voted
KDD
2012
ACM
13 years 6 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
135
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
116
Voted
AAAI
2006
15 years 5 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...