… ) is the most widely used text representation model in text categorization. In VSM, a document
is … Guo, Projected-prototype based classifier for text categorization, Knowl.Based Syst., 49 (…

… embedding as input and outputs a projected prototype, supervised by real prototypes from …
paradigms: classifier-based methods and instance-based methods. Classifier-based methods …

… We also include other projected prototype representations 𝑧𝑖 … taxonomy. Here, we directly
fuse the generated textual and visual features and subsequently feed them into the classifier …

… the traditional text classification. Different from the standard text input in the text classification,
… To obtain the weight of each linear projected prototype in the transformed embeddings, we …

… We aim to learn representative prototypical graph patterns that can be used for classification
… the highest similarity score from all the expanded nodes as the new projected prototype. …

… The distance between the projected test image y i and the projected prototype r j is calculated.
The unseen label of the test image is assigned based on the distance. (34) ϕ ( y i ) = a r g …

… The projected prototype representation P(·) describes the learnable dense vector from a …
This function aggregates across all clusters K, with each projected prototype P(θk,θj) denoting …

… for varying tasks such as 3D object classification, segmentation and detection is often …
range of downstream tasks including 3D object classification and segmentation. Further, the …

… NB is a probability-based classification based on the Bayes … Distance-based classifiers arise
our interest due to their … performance of a distance-based classifier largely depends on the …

… classification algorithms, and the accuracy of the classifiers was improved by tuning their
hyperparameters using Hybrid Bat Algorithm. Most of the classifiers in … The projected prototype …