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» A Guided Monte Carlo Approach to Optimization Problems
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GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 3 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
ESWA
2006
182views more  ESWA 2006»
14 years 10 months ago
Improved route planning and scheduling of waste collection and transport
The collection of waste is a highly visible and important municipal service that involves large expenditures. Waste collection problems are, however, one of the most difficult ope...
Teemu Nuortio, Jari Kytöjoki, Harri Niska, Ol...
ECCV
2002
Springer
15 years 11 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
RTSS
2005
IEEE
15 years 3 months ago
Building Robust Wireless LAN for Industrial Control with DSSS-CDMA Cellphone Network Paradigm
Deploying Wireless LAN for Industrial Control (ICWLAN) has many benefits, such as mobility, low deployment cost and ease of reconfiguration. However, the top concern is robustne...
Qixin Wang, Xue Liu, Weiqun Chen, Wenbo He, Marco ...
ICST
2009
IEEE
15 years 4 months ago
Optimizing Probabilities of Real-Time Test Case Execution
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
Nicolás Wolovick, Pedro R. D'Argenio, Hongy...