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Density estimation based visual object counting (DE-VOC) methods estimate the counts of an image by integrating over its predicted density map. They perform effectively but inefficiently. This paper proposes a fast DE-VOC method but maintains its effectiveness. Essentially, the feature space of image patches from VOC can be clustered into subspaces, and the examples of each subspace can be collected...
Video-based crowd counting (VCC) is a high demanded technique in many video applications. Existing supervised VCC methods essentially learn an intrinsic mapping function between image features and corresponding crowd counts. However, imbalanced training dataset degrades the performance of VCC significantly. Encouraged by recent success in cost-sensitive learning for image classification with imbalance...
Fingerprint minutiae distribution plays a critical role in studies such as fingerprint individuality for strengthening the scientific validity of fingerprint evidence and generating synthetic fingerprints for large-scale system evaluations. Fingerprint minutiae are not uniformly distributed as once assumed. Spatial inhomogeneity has been found in minutiae distribution, yet it is not clear what underlies...
This paper proposes an automatic classification model based on rough set theory for texture image. The features from texture image are extracted by the gray level co-occurrence Matrix (GLCM), then some redundant features of them are reduced under the background of knowledge reduction of rough set theory in order to mine classification rules of texture images. And experiment shows that this model has...
Test Oracle is one of the most important problems to be tackled for automatic software testing. Unlike manual test, by reviewing results to determine whether or not result is what it should expected to be, automatic methods only depend on specified decision rules. Artificial Intelligence is a prominent solution for such work. In this research, Artificial Neural Network was proposed to direct oracles...
The posterior union decision-based neural network (PUD-BNN) has been proposed in our previous work for dealing with face recognition task subject to partial occlusion and distortion. However, one difficult of this method is inaccurate to model classes with only a single, or a small number of training samples. In this paper, we proposed an extern approach to tackle above problem by two strategies....
How to treat the customer relationship is a crucial problem in the telecommunications industry. Therefore, how to measure and manage customer lifetime value (CLV) for determining the likely future profit from the customer is very important because the customer is always looking for better and cheaper products and services. The CLV value not only combines with the churn management but also considers...
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