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» Discriminative Clustering via Generative Feature Mapping
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CVPR
2009
IEEE
15 years 2 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
ICIAP
2003
ACM
14 years 23 days ago
Color matching by using tuple matching
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
Dirk Balthasar
SMI
2006
IEEE
183views Image Analysis» more  SMI 2006»
14 years 1 months ago
The Generalized Shape Distributions for Shape Matching and Analysis
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
Yi Liu, Hongbin Zha, Hong Qin
VAMOS
2008
Springer
13 years 9 months ago
Integrated Product Line Model for Semi-Automated Product Derivation Using Non-Functional Properties
Software product lines (SPLs) allow to generate tailormade software products by selecting and composing reusable code units. However, SPLs with hundreds of features and millions o...
Norbert Siegmund, Martin Kuhlemann, Marko Rosenm&u...
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
14 years 9 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010