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» Constructing Visual Models with a Latent Space Approach
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ICCV
2007
IEEE
16 years 3 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
ICDAR
2009
IEEE
14 years 11 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
APN
2000
Springer
15 years 5 months ago
Efficient Symbolic State-Space Construction for Asynchronous Systems
Many techniques for the verification of reactive systems rely on the analysis of their reachable state spaces. In this paper, a new algorithm for the symbolic generation of the sta...
Gianfranco Ciardo, Gerald Lüttgen, Radu Simin...
NIPS
2008
15 years 2 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
WSC
2008
15 years 3 months ago
Simulation and visualization of traffic operations in Augmented Reality for improved planning and design of road construction pr
This paper describes research that investigated the application of 3D Augmented Reality (AR) for animating traffic simulation models in real time to support the planning and desig...
Amir H. Behzadan, Vineet R. Kamat