This project demonstrates how Label Encoding is used in Google Colab and then uploaded to GitHub. Label Encoding converts text categories into numeric labels so machine learning models can understand ...

Graph-Tech USA (GTUS) is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. Traditional ...

Abstract: Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data ...

Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In this paper, ...

With Python 3.13 we're seeing the following test failure on 2.0.7.

End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the number of supported languages increases, particularly ...

Abstract: Label noise is not uncommon in machine learning applications nowadays and imposes great challenges for many existing classifiers. In this paper we propose a new type of auto-encoder coined ...

In addition, if an RFID tag embedded in a unit cannot be verified by the unit, the smart label is rejected before application and is retained on its liner. Applies labels to 4.72"W and 6"L, and is ...

Paragon Labeling Systems, a maker of systems that print and apply labels to products, cartons, cases and pallets, has released a new modular system, the PLS-430, that automatically encodes and applies ...