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118
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CVPR
2007
IEEE
16 years 4 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...
144
Voted
ECCV
2008
Springer
16 years 4 months ago
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
Ryuzo Okada, Stefano Soatto
145
Voted
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 17 days ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
123
Voted
MMM
2009
Springer
186views Multimedia» more  MMM 2009»
15 years 9 months ago
A New Multiple Kernel Approach for Visual Concept Learning
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
116
Voted
IPPS
2006
IEEE
15 years 8 months ago
On-the-fly kernel updates for high-performance computing clusters
High-performance computing clusters running longlived tasks currently cannot have kernel software updates applied to them without causing system downtime. These clusters miss oppo...
Kristis Makris, Kyung Dong Ryu