XDA Developers on MSN

It's easy to train your own image classification model with an ESP32, and I did it in five minutes

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
WRAL TechWire

Autonomous vehicle first? Duke-Volvo LiDAR project demos long-range object detection, classification

DURHAM – Duke PhD student Ze Wang and professors Qiang Qiu and Guillermo Sapiro, in collaboration with Volvo Cars, have received the best paper award of the International Conference on Computer Vision ...
MarketersMEDIA Newsroom

Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
InfoWorld

Machine learning: Clustering and classification on the campaign trail

As the election season rampages on, we categorize voters into broad demographics — soccer moms, NASCAR dads, blacks, whites, ALICEs, yuppies — in an attempt to understand and discuss this complex, ...
JSTOR Daily

Entropy query by bagging-based active learning approach in the extreme learning machine framework for hyperspectral image classification

This is a preview. Log in through your library . Abstract Active learning (AL) technique is the classification of remote sensing images, where collecting efficient training data is costly in terms of ...