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» Gene set analysis using principal components
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137
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PRL
2007
147views more  PRL 2007»
15 years 1 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
MICCAI
2010
Springer
14 years 11 months ago
Texture Guided Active Appearance Model Propagation for Prostate Segmentation
Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented p...
Soumya Ghose, Arnau Oliver, Robert Marti, Xavier L...
JCIT
2010
190views more  JCIT 2010»
14 years 8 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
CVPR
2003
IEEE
16 years 3 months ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
79
Voted
ICPR
2008
IEEE
15 years 8 months ago
A robust technique for text extraction in mixed-type binary documents
A crucial preprocessing stage in applications such as OCR is text extraction from mixed-type documents. The present work, in contrast to most until now, successfully faces the pro...
Charalambos Strouthopoulos, Athanasios Nikolaidis