An optimized approach for feature extraction in multi-relational statistical learning
G Bakshi, R Shukla, V Yadav, A Dahiya… - Journal of Scientific & …, 2021 - op.niscpr.res.in
Various features come from relational data often used to enhance the prediction of statistical
models. The features increases as the feature space increases. We proposed a framework …
models. The features increases as the feature space increases. We proposed a framework …
Performance analysis of deep neural networks using computer vision
INTRODUCTION: In recent years, deep learning techniques have been made to outperform
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
[PDF][PDF] A new hybrid approach for efficient emotion recognition using deep learning
░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …
few decades and it is found to be very challenging and complex task due to large intra-class …
[HTML][HTML] An optimal method for identification of finger vein using supervised learning
The identification of finger vein is very advanced biometric technique and also behove an
important discipline in biometric area, accommodating growing attention in last years. In the …
important discipline in biometric area, accommodating growing attention in last years. In the …
Motion Signal-based Recognition of Human Activity from Video Stream Dataset Using Deep Learning Approach
RK Yadav, D Arockiam… - Recent Advances in …, 2024 - ingentaconnect.com
Background: Human physical activity recognition is challenging in various research eras,
such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use of …
such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use of …
Impact of similarity measures in K-means clustering method used in movie recommender systems
One of the most challenging tasks in today's era is to deliver personalized information to the
user or group of users according to their preferences. The decision making process is used …
user or group of users according to their preferences. The decision making process is used …
A New Improved Approach for Feature Generation and Selection in Multi-Relational Statistical Modelling using ML
Multi-relational classification is highly challengeable task in data mining, because so much
data in our world is organised in multiple relations. The challenge comes from the huge …
data in our world is organised in multiple relations. The challenge comes from the huge …
Deep Learning-Based Emotion Recognition Using Supervised Learning
Facial emotion recognition using deep learning is getting lot of attention by the researchers
in the past years. Since the images are nonlinear and noisy in nature, it is very difficult to …
in the past years. Since the images are nonlinear and noisy in nature, it is very difficult to …
Cursor Control Using Face Gestures
S Chiddarwar - Proceedings of the 11th International Conference …, 2020 - books.google.com
This paper presents the software implementation for the detection of facial landmarks with
the data trained on iBUG 300–W dataset by dlib library in python and implementing them for …
the data trained on iBUG 300–W dataset by dlib library in python and implementing them for …
Cursor Control Using Face Gestures
This paper presents the software implementation for the detection of facial landmarks with
the data trained on iBUG 300–W dataset by dlib library in python and implementing them for …
the data trained on iBUG 300–W dataset by dlib library in python and implementing them for …