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ICPR
2002
IEEE
14 years 8 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
ICIP
2007
IEEE
14 years 1 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Antonio Rama, Francesc Tarres
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
14 years 1 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
CRV
2006
IEEE
155views Robotics» more  CRV 2006»
14 years 1 months ago
Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor
This paper presents a template-based algorithm to track and recognize athlete’s actions in an integrated system using only visual information. Conventional template-based action...
Wei-Lwun Lu, James J. Little
APWEB
2005
Springer
14 years 1 months ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...