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SIBGRAPI
2005
IEEE
15 years 9 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
ICPR
2000
IEEE
15 years 8 months ago
Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method
Methods for automatic detection of left ventricular endocardium in echocardiograms are required to quantitatively evaluate the functional performance of the left ventricle. This s...
Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimu...
CVPR
2009
IEEE
15 years 7 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
AAAI
2008
15 years 6 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
ICASSP
2011
IEEE
14 years 7 months ago
Recent progress in prosodic speaker verification
We describe recent progress in the field of prosodic modeling for speaker verification. In a previous paper, we proposed a technique for modeling syllable-based prosodic feature...
Marcel Kockmann, Luciana Ferrer, Lukas Burget, Eli...