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ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Soft Region Correspondence Estimation for Graph-Theoretic Image Retrieval Using Quadratic Programming Approach
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
Chuech-Yu Li, Chiou-Ting Hsu
MLDM
2009
Springer
15 years 2 months ago
Selection of Subsets of Ordered Features in Machine Learning
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
Oleg Seredin, Andrey Kopylov, Vadim Mottl
JMLR
2008
169views more  JMLR 2008»
14 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
98
Voted
ECOOP
1997
Springer
15 years 1 months ago
Feature-Oriented Programming: A Fresh Look at Objects
We propose a new model for exible composition of objects et of features. Features are similar to (abstract) subclasses, but only provide the core functionality of a (sub)class. Ove...
Christian Prehofer
ICMCS
2007
IEEE
146views Multimedia» more  ICMCS 2007»
15 years 3 months ago
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...