The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope

Application of 3d-zernike Descriptors in Remote Sensing Target Recognition

In remote sensing (RS) recognition, researchers usually utilize 2D image features to recognize different targets. However, it is always difficult to distinguish targets that have similar image contour but different height. It is because that 2D image contains only 2D contour information, while height information of a target has lost during the imaging process. In this paper, 3D-Zernike descript...

Application of topological and physicochemical descriptors: QSTR analysis of the toxicity of benzene derivatives

the effects of keyword and context methods on pronunciation and receptive/ productive vocabulary of low-intermediate iranian efl learners: short-term and long-term memory in focus

از گذشته تا کنون، تحقیقات بسیاری صورت گرفته است که همگی به گونه ای بر مثمر ثمر بودن استفاده از استراتژی های یادگیری لغت در یک زبان بیگانه اذعان داشته اند. این تحقیق به بررسی تاثیر دو روش مختلف آموزش واژگان انگلیسی (کلیدی و بافتی) بر تلفظ و دانش لغوی فراگیران ایرانی زیر متوسط زبان انگلیسی و بر ماندگاری آن در حافظه می پردازد. به این منظور، تعداد شصت نفر از زبان آموزان ایرانی هشت تا چهارده ساله با...

Research Progress of the Scale Invariant Feature Transform (SIFT) Descriptors

The SIFT (Scale Invariant Feature Transform) is a computer vision algorithm that is used to detect and describe the local image features. The SIFT features are robust to changes in illumination, noise, and minor changes in viewpoint. The SIFT features have been used object recognition, image retrieval and matching, and so on.. The research of SIFT descriptors and improved SIFT descriptors is im...

Cross-Spectral Local Descriptors via Quadruplet Network

This paper presents a novel CNN-based architecture, referred to as Q-Net, to learn local feature descriptors that are useful for matching image patches from two different spectral bands. Given correctly matched and non-matching cross-spectral image pairs, a quadruplet network is trained to map input image patches to a common Euclidean space, regardless of the input spectral band. Our approach i...