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» Inferring and Distributing Spatial Context
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ECCV
2010
Springer
14 years 20 days ago
Detecting People Using Mutually Consistent Poselet Activations
Bourdev and Malik (ICCV 09) introduced a new notion of parts, poselets, constructed to be tightly clustered both in the configuration space of keypoints, as well as in the appeara...
ICCV
2009
IEEE
13 years 5 months ago
Jointly estimating demographics and height with a calibrated camera
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of ...
Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen
SIGSOFT
2000
ACM
13 years 12 months ago
Extracting library-based object-oriented applications
In an increasingly popular model of software distribution, software is developed in one computing environment and deployed in other environments by transfer over the internet. Ext...
Peter F. Sweeney, Frank Tip
ICASSP
2011
IEEE
12 years 11 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah