847 search results - page 47 / 170 » HITS is Principal Components Analysis |
115
Voted
CVPR
1999
IEEE
16 years 2 months ago
1999
IEEE
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
103
Voted
KDD
2007
ACM
16 years 29 days ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
113
Voted
BCI
2009
IEEE
15 years 7 months ago
2009
IEEE
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
116
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MM
2004
ACM
15 years 6 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
81
Voted
PAMI
2008
15 years 15 days ago
2008
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...