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» Robust feature induction for support vector machines
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MICCAI
2010
Springer
13 years 6 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
ICIP
2010
IEEE
13 years 5 months ago
A close-up detection method for movies
Close-up (CU) is a photographic technique which tightly frames a person or an object. In movies, it is applied to guide audience attention and to evoke audience emotion. In this p...
Huiying Liu, Min Xu, Qingming Huang, Jesse S. Jin,...
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
14 years 1 months ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
ICIP
2007
IEEE
14 years 9 months ago
Source Camera Identification Based on Camera Gain Histogram
In this paper, we propose a novel approach for source camera identification based on camera gain histogram. By using the photon transfer curve (PTC) as camera noise model, we cons...
Sz-Han Chen, Chiou-Ting Hsu