Sentence examples for rely on the objective from inspiring English sources

Exact(1)

As the secret object can be rendered in any pattern, a detection method can only rely on the objective image features and does not involve any strategies of scene understanding or human visual systems.

Similar(59)

Race officials now watch the sailing on monitors from a control room on the shore, and any decision that relies on the objective knowledge of a boat's position is made using the same positional data used to create the graphics.

The reason behind this behavior relies on the objective function in formula (27), which minimizes the latency for realtime traffic.

Because the Hessian approximation relies on the objective a m, an iterative solver to (30) is presented through: {widehat{mathbf{a}}}_m^{left(h+1right)}={left[mathbf{H}left({widehat{mathbf{a}}}_m^{(h)}right)right]}^{hbox 1}{mathbf{F}}^H{mathbf{s}}_m (34).

Once a concrete design space is defined, architects can submit initial models to manual design space exploration or rely on the multi-objective optimization engine we provide (design space usage stage).

They rely on the fair and objective selection processes of those agencies.

The price, however, depends on too many factors not related to SA (for example novelty of the reagent, demand, packaging, marketing issues) to be relied on as an objective measure of SA.

Both of these objectives rely on the construction of linkage maps, which in turn rely on genotyping many individuals at many marker loci.

Objective measures rely on the internal structure of the data and mined patterns (measures such as confidence, support, gain, chi-squared value, gini, entropy gain, laplace, lift, and conviction [ 8]), while subjective measures try to capture some domain-relevant knowledge from a human expert or user, and then use it either to prune the uninteresting patterns [ 9] or to identify interesting ones.

Because the detection result should be totally objective, we only rely on the inherent secret image features.

Parameter points of ODE models are typically evaluated based on objective functions that rely on the (least squares) distance between model predictions and experimental data.

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