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ICPR
2004
IEEE
16 years 2 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
ICPR
2008
IEEE
15 years 7 months ago
Non-Abelian invariant feature detection
We present a novel formulation of non-Abelian invariant feature detection. By choosing suitable measuring functions, we show that the measuring space and the corresponding feature...
Yaniv Gur, Nir A. Sochen
ICCCN
2007
IEEE
15 years 1 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
ISSRE
2010
IEEE
14 years 12 months ago
Detecting Dependences and Interactions in Feature-Oriented Design
—Feature-oriented software development (FOSD) aims at the construction, customization, and synthesis of large-scale software systems. We propose a novel software design paradigm,...
Sven Apel, Wolfgang Scholz, Christian Lengauer, Ch...
SAC
2010
ACM
15 years 8 months ago
Feature interaction networks
A quantitative approach for measuring and describing feature interactions in object-oriented software components based on source code inspection is presented. The methodical arsen...
Stefan Sobernig