Object Recognition: Complexity of Recognition Strategies.

Curr Biol

Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK. Electronic address:

Published: April 2018

Primate brains and state-of-the-art convolutional neural networks can recognize many faces, objects and scenes, though how they do so is often mysterious. New research unveils some of the mystery, revealing unexpected complexity in the recognition strategies of rodents.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cub.2018.02.059DOI Listing

Publication Analysis

Top Keywords

complexity recognition
8
recognition strategies
8
object recognition
4
recognition complexity
4
strategies primate
4
primate brains
4
brains state-of-the-art
4
state-of-the-art convolutional
4
convolutional neural
4
neural networks
4

Similar Publications

Given the integration of color emotion space information from multiple feature sources in multimodal recognition systems, effectively fusing this information presents a significant challenge. This article proposes a three-dimensional (3D) color-emotion space visual feature extraction model for multimodal data integration based on an improved Gaussian mixture model to address these issues. Unlike traditional methods, which often struggle with redundant information and high model complexity, our approach optimizes feature fusion by employing entropy and visual feature sequences.

View Article and Find Full Text PDF

A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.

Front Artif Intell

January 2025

CONAHCYT-Instituto Potosino de Investigación Científica y Tecnológica, A.C. División de Geociencias Aplicadas, San Luis Potosí, Mexico.

This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. These models are recognized as powerful tools in many fields due to their capability to carry out several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico.

View Article and Find Full Text PDF

Coagulopathy in sepsis is common and is associated with high mortality. Although immunothrombosis is necessary for infection control, excessive thrombus formation can trigger a systemic thrombo-inflammatory response. Immunothrombosis plays a core role in sepsis-induced coagulopathy, and research has revealed a complex interplay between inflammation and coagulation.

View Article and Find Full Text PDF

Objective And Rationale: Children's clinical pain phenotypes are complex, and there is a lack of objective biological diagnostic markers and cognitive patterns. Detecting physiological signals through wearable devices simplifies disease diagnosis and holds the potential for remote medical applications.

Method And Results: This research established a pain recognition model based on AI skin potential (SP) signal analysis.

View Article and Find Full Text PDF

Background: Purulent meningitis poses a significant clinical challenge with high mortality. We present the case of a 54-year-old female transferred to our emergency department with suspected bacterial meningitis, later diagnosed as an Austrian syndrome.

Case Presentation: The patient exhibited subacute somnolence, severe headache, nausea and fever.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!