149 search results - page 7 / 30 » WiFi-SLAM Using Gaussian Process Latent Variable Models |
119
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
97
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
95
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
65
Voted
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
90
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...