AUSAI
2005
Springer
13 years 10 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
ISCAS
2006
IEEE
13 years 11 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
ICC
2009
IEEE
13 years 11 months ago
2009
IEEE
—In this paper, the source covariance matrices of multiple-input multiple-output (MIMO) interference channels (IFCs) are investigated from a game-theoretic perspective. It is pro...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...