The paper proposes a formulation of context coherency and uses it to generate semantically meaningful groupings by discovering salient image regions and their contexts. The proposed framework consists of four stages. First, a visual vocabulary from a set of labelled training images is learnt. Second, a context space which is inspired by Hyperspace Analogue to Language model is constructed using...

In language learning, speaking becomes the evidence of students’ competence that is learnt. However, ability can be inhibited by several problems are faced such as lack confidence, vocabulary and grammar, inappropriate teaching strategy. this era, developments information technology (IT) solution those problems. The development seems to have many positive effects on education. Technology provid...

We propose the use of motor vocabulary, that express a robot’s specific motor capabilities, for topological mapbuilding and navigation. First, the motor vocabulary is created automatically through an imitation behaviour where the robot learns about its own motor repertoire, by following a tutor and associating its own motion perception to motor words. The learnt motor representation is then use...

this study aims to compare the effects of four types of ffi on second language vocabulary learning. to do so, the study adopted a quasi-experimental pretest-posttest design, including five groups, each receiving a distinct treatment. the participants were 80 fourth-grade male students ranging in age from 17 to 19. before the treatment phase, the participants took a researcher-made test of vocab...

This paper proposes new hash functions for indexing local image descriptors. These functions are first applied and evaluated as a range neighbor algorithm. We show that it obtains similar results as several state of the art algorithms. In the context of near duplicate image retrieval, we integrated the proposed hash functions within a bag of words approach. Because most of the other methods use...

We address the problem of object recognition from RGB-D images using deep convolutional neural networks (CNNs). We advocate the use of 3D CNNs to fully exploit the 3D spatial information in depth images as well as the use of pretrained 2D CNNs to learn features from RGB-D images. There exists currently no large scale dataset available comprising depth information as compared to those for RGB da...

convictions are strong that multimedia courseware holds great promise for enhancing learning efficiency among learners. this study thus aimed at comparing the effects of the multimedia programs introducing 100 vocabulary items through pictures and streaming video with those of teacher instruction on increasing efl learners’ vocabulary repertoire. a total of 120 subjects were identified as inter...

Since 2020, because of the Covid 19 pandemic, university education has been converted to a flipped classroom format, integrating asynchronous and synchronous forms. The change in concept learning required teachers construct new lessons’ designs. Rethinking didactic approach led us choose social constructivism as pedagogical method. main points used this article are: is learner-centered process;...

The Extent of Using the Basic Vocabulary in the First Grade Quran Textbook S. B. Alavi Moghaddam, Ph.D. Textbooks need to be written in such a way that their readers can understand the written texts. One way of ensuring this objective in first grade textbooks would be the use of basic vocabulary, as determined by Ne'matzadeh, et.al. (1384). Considering the importance of the Quran text...