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D. Cai et al. [26] study the orthogonal Laplacianfaces (OLPP) by computing a set of orthogonal basis functions.

Hence, in each iteration the score of each overlapping query is re-evaluated by computing a set distance between the centroid of the query and the diverse subset (S_c).

The WM-MOGA is a three step process specified in pseudo-code by Algorithm 2. WM-MOGA starts by computing a set of candidate endmembers using the WM algorithm.

By computing a set of complex network metrics, at different scales, onto the three single layers given by calls, SMSs and spatial proximity, and their extensions onto a three-level network, we provide a comprehensive study of the global multi-layered network which arises from both the overall on-the-phone communications performed by mobile users and their spatial propinquity.

By computing a set of complex network metrics, at different scales, onto the three single networks and their extensions onto the multiplex network [16], we contribute to some findings on human behavior in the different dimensions captured by mobile phone data.

The stability of the simulation was checked by computing a set of analysis such as RMSD, RMSF, and HB.

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With such schemes, the robot can minimize the risk of foot slippage by computing a favorable set of foot forces to command to a force feedback control system.

Timecourses were next extracted for all regions in the final set by computing a rmANOVA over 2 regularity (regular vs. irregular) by 2 task (read vs. regularize) by 8 timepoints (timecourse).

The comparison is then conducted by computing a numerical similarity of the parameter sets of the two compared atoms.

In this paper, we propose a novel pre-computed RkNN algorithm by computing guardian set for each disjoint rectangular region R in universe and guarantee that for each possible query q in R, all its RkNN results are only affected by those facilities in guardian set.

Distance-based reconstruction algorithms tackle this task by first computing a set of n 2 pairwise distances between the n input samples and then finding a tree which fits these distances.

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