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CVPR
2007
IEEE
14 years 11 months ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
ICML
2010
IEEE
13 years 10 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 3 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
ICCV
2009
IEEE
15 years 1 months ago
A Latent Model of Discriminative Aspect
Recognition using appearance features is confounded by phenomena that cause images of the same object to look different, or images of different objects to look the same. This ma...
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, D...
MODELS
2009
Springer
14 years 3 months ago
Variability Modelling throughout the Product Line Lifecycle
This paper summarizes our experience with introducing feature modelling into several product lines within Siemens. Feature models are used for solving various tasks in the product ...
Christa Schwanninger, Iris Groher, Christoph Elsne...