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» Approximation Algorithms for k-hurdle Problems
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ICCV
2005
IEEE
15 years 10 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
NIPS
2008
15 years 6 months ago
Clustering via LP-based Stabilities
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
SIGIR
1998
ACM
15 years 9 months ago
Fast Searching on Compressed Text Allowing Errors
Abstract We present a fast compression and decompression scheme for natural language texts that allows e cient and exible string matching by searching the compressed text directly....
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
NIPS
2003
15 years 6 months ago
Clustering with the Connectivity Kernel
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
WISEC
2009
ACM
15 years 11 months ago
Towards a theory for securing time synchronization in wireless sensor networks
Time synchronization in highly distributed wireless systems like sensor and ad hoc networks is extremely important in order to maintain a consistent notion of time throughout the ...
Murtuza Jadliwala, Qi Duan, Shambhu J. Upadhyaya, ...