0749-596X/$ see front matter 2009 Elsevier Inc doi:10.1016/j.jml.2009.11.010 * Corresponding author. Fax: +1 765 496 1264. E-mail address: [email protected] (J.D. Karpi A series of four experiments examined the effects of generation vs. retrieval practice on subsequent retention. Subjects were first exposed to a list of target words. Then the subjects were shown the targets again intact for R...

Does SVM really scale up to large bag of words feature spaces? Motivation

This paper shows how semantic attributes can be used to improve object classification. The semantic attributes used fall into five groups: scene (e.g. ‘road’), colour (e.g. ‘green’), part (e.g. ‘face’), shape (e.g. ‘box’), and material (e.g. ‘wood’). We train a set of classifiers for individual semantic attributes, and use them to make predictions on new images (Figure 1). We can then use the s...

Working memory plays an important role in learning since it serves as the buffer between past sensations and future behavior, making essential to understand not only how we encode recall sensory information but also plan for its upcoming use. This study examined effect of working training on vocabulary retention Iranian EFL learners using dual N-back task technique. requires individual remember...

Background

This paper presents a new method for 3D shape retrieval based on the bags-of-words model along with a weak spatial constraint. First, a two-pass sampling procedure is performed to extract the local shape descriptors, based on spin images, which are used to construct a shape dictionary. Second, the model is partitioned into different regions based on the positions of the words. Then each region ...

Image search systems based on local descriptors typically achieve orientation invariance by aligning the patches on their dominant orientations. Albeit successful, this choice introduces too much invariance because it does not guarantee that the patches are rotated consistently. This paper introduces an aggregation strategy of local descriptors that achieves this covariance property by jointly ...