24 search results - page 1 / 5 » Damped Newton Algorithms for Matrix Factorization with Missi... |
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
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...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
WWW
2005
ACM
14 years 5 months ago
2005
ACM
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor that spreads...
NIPS
2003
13 years 6 months ago
2003
The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...
IEEEMSP
2002
IEEE
13 years 9 months ago
2002
IEEE
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...