Sciweavers

JMLR
2012
12 years 2 months ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
PAMI
2002
78views more  PAMI 2002»
14 years 3 days ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...
IVC
2007
187views more  IVC 2007»
14 years 10 days ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
PPAM
2007
Springer
14 years 6 months ago
The Relevance of New Data Structure Approaches for Dense Linear Algebra in the New Multi-Core / Many Core Environments
For about ten years now, Bo K˚agstr¨om’s Group in Umea, Sweden, Jerzy Wa´sniewski’s Team at Danish Technical University in Lyngby, Denmark, and I at IBM Research in Yorktown...
Fred G. Gustavson
IDA
2009
Springer
14 years 7 months ago
Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
Paris Smaragdis, Madhusudana V. S. Shashanka, Bhik...
CVPR
2005
IEEE
15 years 2 months ago
Damped Newton Algorithms for Matrix Factorization with Missing Data
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
A. M. Buchanan, Andrew W. Fitzgibbon