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ICASSP
2011
IEEE
14 years 1 months ago
Covariate-dependent dictionary learning and sparse coding
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, Dav...
ECCV
2002
Springer
15 years 11 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Nils T. Siebel, Stephen J. Maybank
ISVC
2010
Springer
14 years 8 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
SEMCO
2007
IEEE
15 years 4 months ago
A Hybrid Approach to Improving Semantic Extraction of News Video
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 4 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal