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Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding computational savings in subsequent convolutional layers. We view the pooling operation in CNNs as a two step procedure: first, a pooling window (e.g., 2× 2) slides over the feature map with stride one which leaves...
As spam hampers the productivity and performance of social media and causes erosion in the user base and thus associated financial loss, a semi-supervised recursive autoencoders model is applied to social review spams detection problem in this paper. The model is based on semi supervised recursive autoencoders, which learns vector representations of phrases and full sentences as well as their hierarchical...
Hyperspectral remotely sensed image provides very informative information for a wide range of applications that relate to landcover classification. Many studies have shown that the spectral-spatial information is well effective for hyperspectral image (HSI) classification. However, for the spatial based methods, it may sometimes encounter many difficulties in obtaining the spatial prior of different...
The expected appearance of a human face depends strongly on age, ethnicity and gender. While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. To support this effort, we constructed GeoFaces, a large dataset of geotagged face images. We examine the geo-dependence of Eigenfaces and use two supervised methods for extracting...
The main issue of hyperspectral image data (HSI) is its high dimensionality which conducts challenge in high dimensional data analysis community. Popular linear approaches can work effectively when the data is unimodal Gaussian class conditional independently distributions. Yet, they usually fail when applied to HSI data since the distribution of HSI data is usually unknown in reality. Locality preserving...
The purpose of this article was to build a license plates recognition system with high accuracy at night. The system, based on regular PC, catches video frames which include a visible car license plate and processes them. Once a license plate is detected, its digits are recognized, and then checked against a database. The focus is on the modified algorithms to identify the individual characters. In...
The object of this study is to develop a reliable and fast visual inspection system for surface mounted components after they have been placed in wet solder paste on a printed circuit board (PCB). In order to reach this goal, firstly, the features of the components under three colors (red, greed, blue) structure light source are analyzed. Then, a two-stages inspection process is presented. In the...
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