Transfer learning for molecular cancer classification using deep neural networks
The emergence of deep learning has impacted numerous machine learning based
applications and research. The reason for its success lies in two main advantages: 1) it …
applications and research. The reason for its success lies in two main advantages: 1) it …
Intelligent condition based monitoring using acoustic signals for air compressors
Intelligent fault diagnosis of machines for early recognition of faults saves industry from
heavy losses occurring due to machine breakdowns. This paper proposes a process with a …
heavy losses occurring due to machine breakdowns. This paper proposes a process with a …
[PDF][PDF] Graph invariant kernels
We introduce a novel kernel that upgrades the Weisfeiler-Lehman and other graph kernels
to effectively exploit highdimensional and continuous vertex attributes. Graphs are first …
to effectively exploit highdimensional and continuous vertex attributes. Graphs are first …
Support vector machine–a large margin classifier to diagnose skin illnesses
Abstract Support Vector Machine (SVM) have been very popular as a large margin classifier
due its robust mathematical theory. It has many practical applications in a number of fields …
due its robust mathematical theory. It has many practical applications in a number of fields …
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction
V Singh, N Baranwal, RK Sevakula… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
Transcriptome data has been proved to be very valuable for clinical applications, such as
diagnosis and prognosis of various cancers. In this paper, we present layer-wise feature …
diagnosis and prognosis of various cancers. In this paper, we present layer-wise feature …
Neural network based gesture recognition for elderly health care using kinect sensor
A simple method to detect gestures revealing muscle and joint pain is described in this
paper. Kinect Sensor is used for data acquisition. This sensor only processes twenty joint …
paper. Kinect Sensor is used for data acquisition. This sensor only processes twenty joint …
Fusion of low-level features with stacked autoencoder for condition based monitoring of machines
Effective condition based monitoring has received much attention in the area of prognosis
and health management of machines due to its benefit such as improvements in reliability …
and health management of machines due to its benefit such as improvements in reliability …
Single person hand gesture recognition using support vector machine
A simple and easy-to-use system is designed for recognition of single person gestures using
their movement of hands while expressing feelings. Here Kinect sensor is employed to …
their movement of hands while expressing feelings. Here Kinect sensor is employed to …
Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce
In the era of modern world, big data becomes major transformation of new technology, The
amount of data generated by mankind is growing every year. To classify such big data is a …
amount of data generated by mankind is growing every year. To classify such big data is a …
Extraction of Morphometric Features the shape of mangrove leaves based on digital images and classification using the Support Vector Machine
At present, several botanists still rely on the use of manual estimating methods to assess the
carbon content in mangrove. However, these methods have been reported to be extremely …
carbon content in mangrove. However, these methods have been reported to be extremely …