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» Image Based Regression Using Boosting Method
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ISBI
2009
IEEE
14 years 3 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...
ECCV
2006
Springer
14 years 10 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
JMLR
2010
147views more  JMLR 2010»
13 years 3 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
CSDA
2008
122views more  CSDA 2008»
13 years 8 months ago
Time-adaptive quantile regression
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
Jan Kloppenborg Møller, Henrik Aalborg Niel...
WACV
2008
IEEE
14 years 2 months ago
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost
Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time appli...
Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies