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 ...
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 ...
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...
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 ...
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, ...