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» Multiple Kernels for Object Detection
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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
14 years 3 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
ICPR
2004
IEEE
14 years 9 months ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan
ICIP
2004
IEEE
14 years 10 months ago
A detection-based multiple object tracking method
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
Mei Han, Amit Sethi, Wei Hua, Yihong Gong
ICPR
2006
IEEE
14 years 9 months ago
Object Predetection Based on Kernel Parametric Distribution Fitting
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
Jean-Philippe Tarel, Sabri Boughorbel
CVPR
2010
IEEE
14 years 2 months ago
Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network
Michal Sofka, Jingdan Zhang, Kevin Zhou, Comaniciu...