AIMC Topic: Learning

Clear Filters Showing 481 to 490 of 1476 articles

Using Gesture Recognition for AGV Control: Preliminary Research.

Sensors (Basel, Switzerland)
In this paper, we present our investigation of the 2D Hand Gesture Recognition (HGR) which may be suitable for the control of the Automated Guided Vehicle (AGV). In real conditions, we deal with, among others, a complex background, changing lighting ...

Optimization Algorithm of Moving Object Detection Using Multiscale Pyramid Convolutional Neural Networks.

Computational intelligence and neuroscience
Object detection and recognition is a very important topic with significant research value. This research develops an optimised model of moving target identification based on CNN to address the issues of insufficient positioning information and low t...

Neural knowledge assembly in humans and neural networks.

Neuron
Human understanding of the world can change rapidly when new information comes to light, such as when a plot twist occurs in a work of fiction. This flexible "knowledge assembly" requires few-shot reorganization of neural codes for relations among ob...

Deep Neural Networks-Based Age Estimation of Cadavers Using CT Imaging of Vertebrae.

International journal of environmental research and public health
Although age estimation upon death is important in the identification of unknown cadavers for forensic scientists, to the best of our knowledge, no study has examined the utility of deep neural network (DNN) models for age estimation among cadavers. ...

Decoding behavior from global cerebrovascular activity using neural networks.

Scientific reports
Functional Ultrasound (fUS) provides spatial and temporal frames of the vascular activity in the brain with high resolution and sensitivity in behaving animals. The large amount of resulting data is underused at present due to the lack of appropriate...

Local augmentation based consistency learning for semi-supervised pathology image classification.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Labeling pathology images is often costly and time-consuming, which is quite detrimental for supervised pathology image classification that relies heavily on sufficient labeled data during training. Exploring semi-supervised...

Decoupled neural network training with re-computation and weight prediction.

PloS one
To break the three lockings during backpropagation (BP) process for neural network training, multiple decoupled learning methods have been investigated recently. These methods either lead to significant drop in accuracy performance or suffer from dra...

Lifelong Text-Audio Sentiment Analysis learning.

Neural networks : the official journal of the International Neural Network Society
Sentiment analysis refers to the mining of textual context, which is conducted with the aim of identifying and extracting subjective opinions in textual materials. However, most existing methods neglect other important modalities, e.g., the audio mod...

Commonsense psychology in human infants and machines.

Cognition
Human infants are fascinated by other people. They bring to this fascination a constellation of rich and flexible expectations about the intentions motivating people's actions. Here we test 11-month-old infants and state-of-the-art learning-driven ne...