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Liao et al. [25] proposed an effective feature representation called Local Maximal Occurrence (LOMO), which analyzes the horizontal occurrence of local features and maximizes the occurrence to make a stable representation against viewpoint changes.

This not only simplifies the overall procedure but also maximizes the occurrence of transformation events.

To provide the best balance between decreasing instrumental noise (by minimizing Brownian motion of the bead) while increasing the run length (which in turn maximizes the occurrence of low-frequency noise), we chose to examine R2 tweezers data for conditions of [ATP]=4 mM and F=3 pN.

Artificial pulsed neural network simulation has shown that an optimal CR range 10-300%) maximizes the occurrence of synchronized bursting behaviors (when ER = 0.9), which is consistent with previous ex vivo experimental observation, in which the CRs of cultured cortical networks consistently lie in a range of 10-30% with an ER of 80-90%.

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Liao et al. [7] introduced the Local Maximal Occurrence LOMOO) features to analyze the horizontal occurrence of local features and maximize the occurrence in order to obtain a stable representation.

Our data show that decade-scale climate variability exerted a primary control over burning, with intermediate levels of moisture maximizing the occurrence of fire, in accordance with both spatial and temporal patterns of biomass burning at regional to sub-continental scales.

Thus, we infer that the APFL may serve a crucial network motif underlying to maximize the occurrence of SBA.

In a neural network, the evolutionarily selected CR 10-300%) optimizes the occurrence of SBA, and APFL serves a pivotal network motif required to maximize the occurrence of SBA.

The algorithm maximizes the probability of occurrence of state sequence q given a learned HMM λcomb and observation probability matrix Ocomb, i.e., mathbf{q}^{opt}=underset{mathbf{q}}{text{arg}~text{max}} P mathbf{q}|mathbf{O}_{text{comb}}, lambda_{text{comb}}) (2) Fig. 4 Implementation of the audio segmentation system.

The deductions shown in Table 2 can be computed with an approach that greedily maximizes the number of occurrences in P, Q, T, S 1, S 2, M, N 1 and N 2 in this order.

Recombinations of type n - 1 have Δ DCJ - σ ≥ 0, but produce an AA or a BB -path with runs A B A B or A or B. In Table 4 we list groups of recombinations, which allow the computation of the exact DCJ-substitution distance, with an approach that greedily maximizes the number of occurrences in U, V, W, X 1, X 2, Y, Z 1 and Z 2 in this order.

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