PROJECT TITLE :

Fundamental Visual Concept Learning From Correlated Images and Textí_

ABSTRACT:

The visual notions in heterogeneous web media, such as objects, situations, and activities, cannot be dissected semantically. Learning fundamental visual concepts (FVCs) is a key part of understanding any visual material, as well as applications such as retrieval, annotation, and so on. FVC learning is formulated in this work, and a method to this problem called nearby concept distributing is proposed in this paper (NCD). The visual patches in images are nodes in a concept graph that creates inter-image and intra-image edges between visual patches in different images and between visual patches in the same image. Semantic information from images is distributed to visual patches based on the idea graph's fitness, uniqueness, smoothness, and sparseness, without the use of pre-trained concept detectors or classifiers. It is possible to learn all ideas with an arbitrarily high probability as the size of the data increases, according to our analysis of the proposed approach. Using three publicly available datasets, we demonstrate the effectiveness of the NCD strategy. In the experiments, we found that our method outperforms current methods for learning visual concepts from linked media.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : A Multitask Learning Model for Traffic Flow and Speed Forecasting ABSTRACT: Accurate short-term traffic state forecasting is beneficial to Intelligent Transportation Systems (ITS) research and applications. This
PROJECT TITLE : A Supervised Machine Learning Algorithm for Heart Rate Detection Using Doppler Motion-Sensing Radar ABSTRACT: The development of vital sign radar technology has shown to be an effective tool for measuring various
PROJECT TITLE : Alzheimers Diseases Detection by Using Deep Learning Algorithms ABSTRACT: Accurate Alzheimer's disease (AD) diagnosis is critical for patient treatment, especially in the early stages of the disease, because
PROJECT TITLE : An Automated Machine Learning Approach for Smart Waste Management Systems ABSTRACT: This study shows how automated machine learning can be used to solve a real-world problem in a Smart Waste Management system.
PROJECT TITLE : An Explainable Machine Learning Framework for Intrusion Detection Systems ABSTRACT: Machine learning-based intrusion detection systems (IDSs) have proven to be useful in recent years; in particular, deep neural

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry