The phrase "features that indicate" is correct and usable in written English.
You can use it when describing characteristics or traits that suggest or point to something specific.
Example: "The features that indicate a successful product include user satisfaction and market demand."
Alternatives: "traits that suggest" or "characteristics that point to".
Other fossils from the same locality more clearly reveal the square shape and four bunches of tentacles, features that indicate Anthracomedusa was very likely a cubozoan.
The clastic deposits contain quenched bombs and structural features that indicate waterlain transport and emplacement, and soft sediment deformation.
These images demonstrate the presence of irradiation-induced prismatic edge dislocations as well as features that indicate the presence of basal dislocations.
After synchronous averaging, the filtered signal is demodulated for calculation of the amplitude and frequency modulation functions, and then any features that indicate faults.
Scientists probing the sea floor off the southern coast of Alaska have found geological features that indicate the region is at greater risk of being hit by a tsunami than previously recognized.
Among the tell-tale features that indicate that it is from a later version of the holy book are the use of verse markers and marks denoting how a consonant should be pronounced.
The more flattened surfaces are referred to herein as the "top" and "bottom" of the cells, depending on their orientation on the grid, but there were no consistent structural features that indicated any functional distinction.
The remaining restorations displayed fracture features that indicated the origin and the direction of the fracture.
The convolution layer essentially creates maps — different, broken-down versions of the picture, each dedicated to a different filtered feature — that indicate where its neurons see an instance (however partial) of the color red, stems, curves and the various other elements of, in this case, an apple.
By using an approach inspired by the expectation maximization (EM) class of algorithms, we introduce a hidden binary label for each visual feature that indicates if that feature is considered part of the nominal model, or if the feature corresponds to 3D structure that is absent from the model.
