In this paper, we explore different linguistic structures encoded as convolution kernels for the detection of subjective expressions. The advantage of convolution kernels is that complex structures can be directly provided to a classifier without deriving explicit features. The feature design for the detection of subjective expressions is fairly difficult and there currently exists no commonly ...

To improve the accuracy of digital image edge detection, an ENO nonlinear fourth-order interpolation based subpixel edge detection algorithm was proposed in this paper. A stencil was constructed through classical Canny operator, followed by processing gray images to generate gradient images. ENO nonlinear fourth-order interpolation was applied in the gradient direction of target edges, and then...

Deep convolutional networks are prominently used in object detection tasks due to their notable performances. These typically have pooling layers following the convolution, which effectively subsamples convolution output, potentially introducing aliasing. An aliased signal emerging earlier inevitably propagates throughout network and such distortion prevents getting best performance out of a ne...

Phishing is one of the significant threats in cyber security. a form social engineering that uses e-mails with malicious websites to solicitate personal information. are growing alarming number. In this paper we propose novel machine learning approach classify phishing using Convolution Neural Networks (CNNs) use URL based features. CNNs consist stack convolution, pooling layers, and fully conn...

Recently availability of large scale mammography databases enable researchers to evaluates advanced tumor detections applying deep convolution networks (DCN) to mammography images which is one of the common used imaging modalities for early breast cancer. With the recent advance of deep learning, the performance of tumor detection has been developed by a great extent, especially using R-CNNs or...

We present new methods that approximate the ooset and convolution of planar curves. They can be used as fundamental tools in various interesting geometric applications such as NC machining and collision detection of planar curved objects. Using quadratic curve approximation and tangent eld matching, the oo-set and convolution curves can be approximated by polynomial or rational curves within th...

this article presents a unified approach to the abstract notions of partial convolution and involution in $l^p$-function spaces over semi-direct product of locally compact groups. let $h$ and $k$ be locally compact groups and $tau:hto aut(k)$ be a continuous homomorphism.  let $g_tau=hltimes_tau k$ be the semi-direct product of $h$ and $k$ with respect to $tau$. we define left and right $tau$-c...

We present new methods to approximate the offset and convolution of planar curves. These methods can be used as fundamental tools in various geometric applications such as NC machining and collision detection of planar curved objects. Using quadratic curve approximation and tangent field matching, the offset and convolution curves can be approximated by polynomial or rational curves within the ...

This paper continues the investigation of the use of spectral analysis on certain noncommutative nite groups|wreath product groups|in digital signal processing. We describe here the generalization of discrete cyclic convolution to convolution over these groups and show how it reduces to multiplication in the spectral domain. Finite group-based convolution is de ned in both the spatial and spect...