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» Process Diagnostics: A Method Based on Process Mining
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IJSEKE
2000
90views more  IJSEKE 2000»
15 years 4 months ago
Planning Support to Software Process Evolution
The ability to handle changes is a characteristic feature of successful software projects. The problem addressed in this paper is what should be done in project planning and itera...
Reidar Conradi, Minh Ngoc Nguyen, Alf Inge Wang, C...
159
Voted
JCP
2008
167views more  JCP 2008»
15 years 4 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
CGF
2005
252views more  CGF 2005»
15 years 4 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
WCRE
2008
IEEE
15 years 10 months ago
Pitfalls in Aspect Mining
The research domain of aspect mining studies the problem of (semi-)automatically identifying potential aspects and crosscutting concerns in a software system, to improve the syste...
Kim Mens, Andy Kellens, Jens Krinke
164
Voted
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue