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ECAI
2004
Springer
14 years 1 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
ESWA
2008
127views more  ESWA 2008»
13 years 8 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
CVPR
2008
IEEE
14 years 10 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
ICCV
2005
IEEE
14 years 10 months ago
Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...
Shankar Rao, Allen Y. Yang, Andrew Wagner, Yi Ma
ICIP
2006
IEEE
14 years 10 months ago
Region Based Segmentation Using the Tree of Shapes
The tree of shapes is a powerful tool for image representation which holds many interesting properties. There are many works in the literature that use it for image segmentation, ...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...