Sciweavers

37 search results - page 4 / 8
» Covariance Estimation for High Dimensional Data Vectors Usin...
Sort
View
142
Voted
IGARSS
2009
15 years 2 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...
TSMC
2010
14 years 11 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
MMM
2005
Springer
163views Multimedia» more  MMM 2005»
15 years 10 months ago
Parallel Image Matrix Compression for Face Recognition
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
Dong Xu, Shuicheng Yan, Lei Zhang, Mingjing Li, We...
163
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
JMIV
2006
185views more  JMIV 2006»
15 years 5 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec