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Nature’s Multi-Eyed Marvels: 16 Examples

Many people know that some animals have more than two eyes, but the variety and function of these extra eyes might surprise you. From reptiles with a hidden “third eye” that senses light, to insects ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
IEEE

Generating Multi-label Adversarial Examples by Linear Programming

Abstract: Deep neural networks (DNNs) are used in various domains, such as image classification, natural language processing and face recognition, etc. However, the presence of malicious examples, ...
Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
Frontiers

An Iterative Pseudo Label Generation framework for semi-supervised hyperspectral image classification using the Segment Anything Model

Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their ...
techxplore

Multi-label classification in AI: A new path for object recognition

But new research challenges this customary approach to multi-object classification tasks. In an article published today in Physica A, researchers from Bar-Ilan University in Israel show how ...
Kaleido Scope

Data classification labels to be enabled for Microsoft 365 environment

To help you better understand the type of data with which you interact, UAB IT will enable data classification labels for files in the Microsoft 365 environment on Dec. 6. Labels correspond to UAB’s ...