In this paper we combine several image processing techniques with the depth images
captured by a Kinect sensor to successfully recognize the five distinct human postures of …

One of the several benefits of text classification is to automatically assign document in
predefined category is one of the primary steps toward knowledge extraction from the raw …

Statistical n-gram language modeling is applied in many domains like speech recognition,
language identification, machine translation, character recognition and topic classification …

Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical
and challenging task. Owing to that, several medical imaging classification techniques have …

Document classification is an open problem in library, information, and computer sciences
towards assigning documents to one or more classes. The interest of linguistic researchers …

One of the several benefits of text classification is to automatically assign document in
predefined category. Researchers using LVQ algorithm in English and Persian [1, 2] and …

Due to the rapid growth of the Internet, large amounts of unlabelled textual data are
producing daily. Clearly, finding the subject of a text document is a primary source of …

The planning of the company's existing and future human resource needs is included in the
process of human resource recruitment. The availability of human resources, in terms of both …

With the extensive growth in information, text classification as one of the text mining
methods, plays a vital role in organizing and management information. Most text …

The Automatic Short Answer Grading (Simple-O) has been created for grading short answer
with Bahasa Indonesia using K-Means and Latent Semantic Analysis (LSA) method. In this …