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» Modelling Variation in Quality Attributes
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CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 19 days ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
ATAL
2003
Springer
14 years 19 days ago
Customizing AOSE methodologies by reusing AOSE features
Future large-scale software development projects will require engineering support for a diverse range of software quality attributes, such as privacy and openness. It is not feasi...
Thomas Juan, Leon Sterling, Maurizio Martelli, Viv...
ICIP
2009
IEEE
14 years 8 months ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...
SIGPRO
2010
111views more  SIGPRO 2010»
13 years 2 months ago
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
JOT
2007
112views more  JOT 2007»
13 years 7 months ago
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems
Demand for quality software has undergone with rapid growth during the last few years. This is leading to an increase in the development of metrics for measuring the properties of...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi...