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CVPR
2008
IEEE
13 years 10 months ago
Joint multi-label multi-instance learning for image classification
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...
IJCV
2008
281views more  IJCV 2008»
13 years 10 months ago
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...
PAMI
2007
176views more  PAMI 2007»
13 years 9 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
IJRR
2010
137views more  IJRR 2010»
13 years 8 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
JMLR
2010
135views more  JMLR 2010»
13 years 8 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...