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ML
2010
ACM
127views Machine Learning» more  ML 2010»
14 years 10 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
PAMI
2010
417views more  PAMI 2010»
14 years 10 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
PE
2010
Springer
102views Optimization» more  PE 2010»
14 years 10 months ago
Extracting state-based performance metrics using asynchronous iterative techniques
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
Douglas V. de Jager, Jeremy T. Bradley
SAB
2010
Springer
153views Optimization» more  SAB 2010»
14 years 10 months ago
Cooperative Stigmergic Navigation in a Heterogeneous Robotic Swarm
We study self-organized cooperation in a heterogeneous robotic swarm consisting of two sub-swarms. The robots of each sub-swarm play distinct roles based on their different charac...
Frederick Ducatelle, Gianni A. Di Caro, Luca Maria...
SEUS
2010
IEEE
14 years 10 months ago
Error Detection Rate of MC/DC for a Case Study from the Automotive Domain
Chilenski and Miller [1] claim that the error detection probability of a test set with full modified condition/decision coverage (MC/DC) on the system under test converges to 100%...
Susanne Kandl, Raimund Kirner