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» The Problems of Data Modeling in Software Practice
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147
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IROS
2007
IEEE
193views Robotics» more  IROS 2007»
15 years 9 months ago
Data acquisition and view planning for 3-D modeling tasks
— In this paper we address the joint problems of automated data acquisition and view planning for large–scale indoor and outdoor sites. Our method proceeds in two distinct stag...
Paul Blaer, Peter K. Allen
140
Voted
SADM
2010
141views more  SADM 2010»
14 years 10 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
138
Voted
ICFEM
2004
Springer
15 years 9 months ago
Memory-Model-Sensitive Data Race Analysis
Abstract. We present a “memory-model-sensitive” approach to validating correctness properties for multithreaded programs. Our key insight is that by specifying both the inter-t...
Yue Yang, Ganesh Gopalakrishnan, Gary Lindstrom
ICML
2009
IEEE
16 years 4 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
WCRE
2009
IEEE
15 years 10 months ago
FAMOOSr 2009 - Workshop on FAMIX and Moose in Software Reengineering
The increasing amount of data available about software systems poses new challenges for re- and reverse engineering research, as the proposed approaches need to scale. In this con...
Simon Denier, Tudor Gîrba