581 search results - page 43 / 117 » EM in High Dimensional Spaces |
86
Voted
ICPR
2004
IEEE
15 years 12 months ago
2004
IEEE
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...
85
Voted
ICCV
2005
IEEE
15 years 4 months ago
2005
IEEE
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...
82
Voted
ICTAI
2005
IEEE
15 years 4 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
83
Voted
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
CORR
2007
Springer
14 years 11 months ago
2007
Springer
—The Grassmann manifold Gn,p (L) is the set of all p-dimensional planes (through the origin) in the n-dimensional Euclidean space Ln , where L is either R or C. This paper consid...