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» Robust Matrix Decomposition with Outliers
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AAAI
2012
11 years 10 months ago
Colorization by Matrix Completion
Given a monochrome image and some manually labeled pixels, the colorization problem is a computer-assisted process of adding color to the monochrome image. This paper proposes a n...
Shusen Wang, Zhihua Zhang
ICASSP
2007
IEEE
14 years 2 months ago
Blind Signal Decompositions for Automatic Transcription of Polyphonic Music: NMF and K-SVD on the Benchmark
This paper investigates on the behavior of two blind signal decomposition algorithms, non negative matrix factorization (NMF) and non negative K-SVD (NKSVD), in a polyphonic music...
Nancy Bertin, Roland Badeau, Gaël Richard
SPIESR
2003
136views Database» more  SPIESR 2003»
13 years 9 months ago
Media segmentation using self-similarity decomposition
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Jonathan Foote, Matthew L. Cooper
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
14 years 2 months ago
Inverse Kinematics without matrix inversion
– This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Carte...
Alexandre N. Pechev
CVPR
2008
IEEE
14 years 9 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding