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» A Probability Model for Image Annotation
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ICIP
2002
IEEE
16 years 1 months ago
Updating mixture of principal components for error concealment
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
Trista Pei-chun Chen, Tsuhan Chen
WWW
2009
ACM
16 years 10 days ago
Latent space domain transfer between high dimensional overlapping distributions
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure...
CVPR
2003
IEEE
16 years 1 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
CVPR
2008
IEEE
16 years 1 months ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
ICPR
2002
IEEE
16 years 23 days ago
Person Identification Using Automatic Height and Stride Estimation
We present a parametric method to automatically identify people in monocular low-resolution video by estimating the height and stride parameters of their gait. Stride parameters (...
Chiraz BenAbdelkader, Ross Cutler, Larry S. Davis