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This work proposes a novel convolutional neural network architecture which can locate landmarks accurately by learning local responses of facial landmarks. The network consists of a Conditional Variational Auto-Encoder(CVAE) and a Deep Convolutional Neural Network(DCNN). The CVAE is used to learn the response maps of facial landmarks from face images and the DCNN is used to learn accurate landmark...
Gender classification is a fundamental and important application in computer vision, and it has become a research hotspot. Real-world applications require gender classification in unconstrained conditions where traditional methods are not appropriate. This paper proposes a Deep Convolutional Neural Network for feature extraction together with fully-connected layers for metric learning. A Siamese network...
Since Krizhevsky won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012 competition with the brilliant deep convolutional neural networks(D-CNNs), researchers have designed lots of D-CNNs. However, almost all the existing very deep convolutional neural networks are trained on the giant ImageNet datasets. Small datasets like CIFAR-10 has rarely taken advantage of the power of depth...
SQL injection attack is one of the most serious security vulnerabilities in Web application system, most of these vulnerabilities are caused by lack of input validation and SQL parameters use. Typical SQL injection attack and prevention technologies are introduced in the paper. The detecting methods not only validate user input, but also use type-safe SQL parameters. SQL injection defense model is...
The knowledge delivery is an important process that enables enterprises to create competitive business advantages. In view of the existing insufficiency of knowledge management system, this paper proposed a frame of proactive knowledge service system for product design, sketch the frame of proactive knowledge service system and show some details. Illustrate method of knowledge representation for product...
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