Classification

ABSTRACT Image Classification is basis and important task in computer vision. It is supervised learning problem. It has some of the target classes and we train a model to recognize them using training data. This train data some time can be large or can be small for very complex problems. What if we don’t have…

Abstract In this work we are trying to implement the segmentation of an x-ray image for cervical spondylosis detection. One of the major concerns of that particular disease is faster detection and identification of diseases in pervious stages. According to the opinion of clinical experts, today x-ray tomography method is most effective technology in medical…

The Rapid evolution of technology and development of robotic application has made possible to create autonomous robots to assist or replace human in ordinary tasks in everyday setting. For instance service robots coexist with human in the same environment to provide support and assistance in house work and caring elderly or disabled people. Service robots…

Almost everyone will experience coworkers at some point in a job. Some coworkers can be enjoyable to work with, while others not so much. I have not had a job, but I had volunteer at a school library and while there I experience both good and bad with co-workers. However, I leamed how to handle…

When a person finds themselves faced with addiction, there are also faced with choices that might seem impossible to make. The choice to be honest and come to terms with the reality of their addiction, the choice to seek help, and even the choice to stop using the very thing that holds them prisoner. Although…

The Russian chemist Dmitri Mendeleev uncovered evidence that consisted ot a huge collection at acts about the 63 elements that had been discovered by the mid-1500’s. His clues had to do with the physical and chemical properties ot these elements. Mendeleev was convinced dtat he could arrange the elements so that those with similar properties…

Various classification methods and algorithms have been adopted by the remote sensing community. Some of the methods use techniques like support vector machines (SVMs), k-means clustering, Gaussian process (GP), random forest (RF), extreme learning machines (ELM) and deep neural network classifiers. However, the accuracies of these models are not up to the mark. The challenges…

Radiation is an emission of energetic particles or energetic waves. In radiation machines these energetic particles are sent through a matter containing media. There are two classifications of radiation. Radiation can be both lonizing or non-ionizing. Ionizing radiation is radiation with sufficiently high energy that can ionize atoms (Wikipedia, 2013). Examples of lonizing radiation include…

Graphs can accurately represent most real-world data. Graph classification is an important graph mining task. It deals with predicting which label or category the graph belongs to and has many applications such as classifying chemical compounds, function prediction of protein structures, social network analysis. Traditional approaches focus on extracting graph statistics or features and comparing…

Abstract Modern computers are difficult to read handwritten numbers because the handwriting of each person is special and distinctive. In the modern age of digital technology, however, everybody is moving. Handwritten books and papers need to be re-typed into computer systems. Thanks to computer vision methods f or Artificial Intelligence, the road is simpler. We…