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ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
16 years 2 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
INFOCOM
2007
IEEE
16 years 2 months ago
Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks
— We introduce a low-complexity distributed slotted MAC protocol that can support all feasible arrival rates in a wireless backhaul network (WBN). For arbitrary wireless networks...
Abdul Kader Kabbani, Theodoros Salonidis, Edward W...
ACMSE
2006
ACM
16 years 1 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
ERSHOV
2003
Springer
16 years 27 days ago
Complexity of Model Checking by Iterative Improvement: The Pseudo-Boolean Framework
We present several new algorithms as well as new lower and upper bounds for optimizing functions underlying infinite games pertinent to computer-aided verification.
Henrik Björklund, Sven Sandberg, Sergei G. Vo...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 5 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud