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SAS
2009
Springer
171views Formal Methods» more  SAS 2009»
16 years 5 months ago
Bottom-Up Shape Analysis
In this paper we present a new shape analysis algorithm. The key distinguishing aspect of our algorithm is that it is completely compositional, bottom-up and non-iterative. We pres...
Bhargav S. Gulavani, Supratik Chakraborty, Ganesan...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 4 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
ASPDAC
2009
ACM
155views Hardware» more  ASPDAC 2009»
15 years 11 months ago
Variation-aware resource sharing and binding in behavioral synthesis
— As technology scales, the delay uncertainty caused by process variations has become increasingly pronounced in deep submicron designs. In the presence of process variations, wo...
Feng Wang 0004, Yuan Xie, Andres Takach
ICRA
2007
IEEE
154views Robotics» more  ICRA 2007»
15 years 10 months ago
Path Planning for Planetary Exploration Rovers and Its Evaluation based on Wheel Slip Dynamics
— In this paper, a path planning and its evaluation method is described with taking into account wheel slip dynamics of lunar/planetary exploration rovers. The surface of the pla...
Genya Ishigami, Keiji Nagatani, Kazuya Yoshida
IPPS
2003
IEEE
15 years 9 months ago
Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarr...
Xiang Xiao, Ernst R. Dow, Russell C. Eberhart, Zin...