The phrase "a generalized image" is correct and usable in written English.
It can be used when referring to a broad or abstract representation of something, often in discussions about perception, art, or data visualization.
Example: "In the study, participants were asked to create a generalized image of their ideal vacation destination."
Alternatives: "a broad representation" or "an abstract depiction".
In this paper, inspired by the original insight of granular computing proposed by Zadeh, a generalized image-matting approach is defined in the framework of a novel Granular Deep Learning(GDL), in which the information similarity, proximity and functionality are very important for feature learning.
But the genius of the design is the combination of names with Minimalist sculpture: Ms. Lin recognized and exploited the inherent theatricality and ambiguity of Minimalist abstraction, linking it with the most literal kind of descriptive device, a list, which represents every person who died not through some generalized image of a soldier holding a gun or a flag but specifically, by name.
To solve electrostatic problems with arbitrary geometries, an algorithm called the generalized image charge method [14, 15] (GICM) has been developed.
First, we have demonstrated that the generalized image charge method can be modified to use a neural network minimization algorithm.
The generalized image databases are available online.
As for the generalized image classification, we utilize three generalized image databases, i.e., Amazon (images downloaded from online merchants), Webcam (low-resolution images by a web camera), and DSLR (high-resolution images by a digital SLR camera).
The proposed TDCAF can be applied to the generalized image classification and ground-based cloud classification.
Section 3 provides comprehensive analysis of the proposed TDCAF on generalized image databases and ground-based cloud image databases.
Then, we validate the effectiveness of the proposed TDCAF on generalized image databases and ground-based cloud image databases.
The resulting generalized image charge solvation model (GICSM) is tested in simulations of liquid water, and the results are analyzed in comparison with those obtained from the ICSM simulations as a reference.
