Sciweavers

189 search results - page 5 / 38
» Estimating the Intrinsic Dimension of Data with a Fractal-Ba...
Sort
View
94
Voted
CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
COMPGEOM
2009
ACM
15 years 4 months ago
Integral estimation from point cloud in d-dimensional space: a geometric view
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...
Chuanjiang Luo, Jian Sun, Yusu Wang
TIFS
2008
148views more  TIFS 2008»
14 years 9 months ago
Digital Image Forensics via Intrinsic Fingerprints
Digital imaging has experienced tremendous growth in recent decades, and digital camera images have been used in a growing number of applications. With such increasing popularity a...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu
81
Voted
ICC
2009
IEEE
123views Communications» more  ICC 2009»
15 years 4 months ago
Blind Spectrum Sensing for Cognitive Radio Based on Signal Space Dimension Estimation
Abstract—Based on information theoretic tools, a new spectrum sensing method is proposed in this paper to detect vacant sub-bands in the radio spectrum1 . Specifically, based on...
Bassem Zayen, Aawatif Hayar, Kimmo Kansanen
90
Voted
ECCV
2006
Springer
15 years 11 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee