RECSYS
2010
ACM
13 years 2 months ago
2010
ACM
Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion sites such as TripAdvisor, given the rewards that can be derived from posting false or biase...
JCNS
2010
13 years 3 months ago
2010
Laser-scanning methods are a means to observe streaming particles, such as the flow of red blood cells in a blood vessel. Typically, particle velocity is extracted from images form...
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— Classically, the inverse kinematics is performed by computing the singular value decomposition of the matrix to invert. This enables a very simple writing of the algorithm. How...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
TROB
2008
13 years 4 months ago
2008
-- This paper presents the theoretical analysis and the experimental validation of the force sensing capabilities of continuum robots. These robots employ super-elastic NiTi backbo...
SIAMSC
2008
13 years 4 months ago
2008
A powerful method for solving planar eigenvalue problems is the Method of Particular Solutions (MPS), which is also well known under the name "point matching method". In ...
PR
2008
13 years 4 months ago
2008
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
NA
2006
13 years 4 months ago
2006
Truncated singular value decomposition is a popular solution method for linear discrete ill-posed problems. However, since the singular value decomposition of the matrix is indepen...
JSC
2008
13 years 4 months ago
2008
We describe the design, implementation and experimental evaluation of new algorithms for computing the approximate factorization of multivariate polynomials with complex coefficie...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is ...