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» Image prediction based on non-negative matrix factorization
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ISCAS
2005
IEEE
196views Hardware» more  ISCAS 2005»
15 years 5 months ago
Arbitrary scale image enlargement with the prediction of high frequency components
Abstract— In this paper, we propose an arbitrary scale enlargement method of digital images based on the Laplacian pyramid (LP) representation. Through the calculation of the arb...
Shuai Yuan, Akira Taguchi, Masayuki Kawamata
ECCV
2010
Springer
14 years 10 months ago
Element-Wise Factorization for N-View Projective Reconstruction
Sturm-Triggs iteration is a standard method for solving the projective factorization problem. Like other iterative algorithms, this method suffers from some common drawbacks such ...
Yuchao Dai, Hongdong Li, Mingyi He
ICCV
2003
IEEE
15 years 5 months ago
Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices
A new calibration algorithm for multi-camera systems using a planar reference pattern is proposed. The algorithm is an extension of Sturm-Maybank-Zhang style plane-based calibrati...
Toshio Ueshiba, Fumiaki Tomita
CVPR
2001
IEEE
16 years 1 months ago
Learning Spatially Localized, Parts-Based Representation
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
BMCBI
2005
201views more  BMCBI 2005»
14 years 11 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota