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» On Combining Classifiers
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CVPR
1999
IEEE
14 years 10 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CVPR
2004
IEEE
14 years 10 months ago
Effect of Colorspace Transformation, the Illuminance Component, and Color Modeling on Skin Detection
Skin detection is an important preliminary process in human motion analysis. It is commonly performed in three steps: transforming the pixel color to a non-RGB colorspace, droppin...
Sriram Jayaram, Stephen Schmugge, Min C. Shin, Leo...
CVPR
2004
IEEE
14 years 10 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
CVPR
2006
IEEE
14 years 10 months ago
Local Steerable Phase (LSP) Feature for Face Representation and Recognition
In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filte...
Xiaoxun Zhang, Yunde Jia
ICCV
2005
IEEE
14 years 10 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes