Sciweavers

406 search results - page 8 / 82
» Gaussian Mixture Modeling with Gaussian Process Latent Varia...
Sort
View
ICML
2010
IEEE
15 years 8 months ago
Gaussian Processes Multiple Instance Learning
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...
Minyoung Kim, Fernando De la Torre
ICIP
2007
IEEE
16 years 9 months ago
Faithful Shape Representation for 2D Gaussian Mixtures
It has been recently discovered that a faithful representation for the shape of some simple distributions can be constructed using invariant statistics [1, 2]. In this paper, we c...
Mireille Boutin, Mary I. Comer
ICML
2008
IEEE
16 years 8 months ago
Topologically-constrained latent variable models
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jo...
ECML
2005
Springer
16 years 1 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
203
Voted
ICIP
2006
IEEE
16 years 9 months ago
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model
David K. Hammond, Eero P. Simoncelli