Sciweavers

1018 search results - page 136 / 204
» Learning Probabilistic Models of Contours
Sort
View
ALT
2003
Springer
15 years 6 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
CEC
2009
IEEE
15 years 4 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
83
Voted
RIAO
2007
14 years 11 months ago
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations
Many documents on the Web are formated in a weakly structured format. Because of their weak semantic and because of the heterogeneity of their formats, the information conveyed by...
Guillaume Wisniewski, Patrick Gallinari
PAMI
2008
202views more  PAMI 2008»
14 years 10 months ago
Metamorphs: Deformable Shape and Appearance Models
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...
Xiaolei Huang, Dimitris N. Metaxas
CVPR
2000
IEEE
15 years 12 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona