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CORR
2006
Springer
91views Education» more  CORR 2006»
15 years 7 months ago
Complexity of Data Flow Analysis for Non-Separable Frameworks
The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...
Bageshri Karkare, Uday P. Khedker
230
Voted
LCTRTS
2010
Springer
15 years 5 months ago
Integrating safety analysis into the model-based development toolchain of automotive embedded systems
The automotive industry has a growing demand for the seamless integration of safety analysis tools into the model-based development toolchain for embedded systems. This requires t...
Matthias Biehl, De-Jiu Chen, Martin Törngren
206
Voted
ICML
2006
IEEE
16 years 8 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
ISBI
2002
IEEE
16 years 8 months ago
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
CF
2009
ACM
16 years 2 months ago
Quantitative analysis of sequence alignment applications on multiprocessor architectures
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...
Friman Sánchez, Alex Ramírez, Mateo ...