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TASLP
2010
105views more  TASLP 2010»
14 years 4 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos
ECCV
2008
Springer
15 years 11 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
CCECE
2006
IEEE
15 years 1 months ago
Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projec...
Tao Dai, Andy Adler, Behnam Shahrrava
CORR
2010
Springer
153views Education» more  CORR 2010»
14 years 10 months ago
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures
The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile a...
Emmanuel Agullo, Henricus Bouwmeester, Jack Dongar...
CVPR
2010
IEEE
14 years 8 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel