The Duluth-WSI systems in SemEval-2 built word co–occurrence matrices from the task test data to create a second order co–occurrence representation of those test instances. The senses of words were induced by clustering these instances, where the number of clusters was automatically predicted. The Duluth-Mix system was a variation of WSI that used the combination of training and test data to cr...

A detection method of the rice milling degree was proposed based on machine vision with gray-gradient co-occurrence matrix. Using an experimental mill machine, different milling degree samples of rice were prepared. The rice kernel image of the different milling degree was get by a machine vision detecting system, then the texture features of the rice image were obtained by using gray-gradient ...

Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents an efficient classification algorithm in digital mammograms in the context of rough set theory. Feature extractions acquired in this work are derived from the gray-level co-occurrence matrix. The features are extracted, normalized and then the ...

(GEO). In general, process is easier to measure, outcome is more important. The original contribution of the present study is fourfold. First, existing procedures for quantitative quality assessment (Q 2 A) of the (sole) PAN-sharpened MS product are critically reviewed. Their conceptual and implementation drawbacks are highlighted to be overcome for quality improvement. Second, a novel (to the ...

In this paper a novel statistical shape feature called the edge co-occurrence matrix (ECM) is proposed for image classification and retrieval. The ECM indicates the joint probability of edge directions of two pixels at a certain displacement in an image. The ECM can be applied to various tasks since it does not require any segmentation information unlike most shape features. Comparisons are con...

Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collection such as the Internet, there has also been great interest in extending these approaches to hypertext [6, 9]. These approaches typically model links in an analogous fashion to how they model words the document-link c...

Urban built-up area information is required by various applications. However, urban built-up area extraction using moderate resolution satellite data, such as Landsat series data, is still a challenging task due to significant intra-urban heterogeneity and spectral confusion with other land cover types. In this paper, a new method that combines spectral information and multivariate texture is p...

The aim of the steganography methods is to communicate securely in a completely undetectable manner. LSB Matching and LSB Matching Revisited steganography methods are two general and esiest methods to achieve this aim. Being secured against first order steganalysis methods is the most important feature of these methods. On the other hand, these methods don't consider inter pixel dependency. The...

We show that a set of real-valued word vectors formed by right singular vectors of a transformed co-occurrence matrix are meaningful for determining different types of dependency relations between words. Our experimental results on the task of dependency parsing confirm the superiority of the word vectors to the other sets of word vectors generated by popular methods of word embedding. We also ...

In this paper we have developed a system that can automatically discriminate between machine-printed and handwritten words in structured bi-lingual (Arabic and French) form document layout. Our system has been applied in the context of Tunisian National Health Insurance Fund for medical care costs refund with encouraging results. In the used forms, handwritten data usually touch or cross the pr...