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Recurrent neural networks (RNNs) have shown clear superiority in sequence modeling, particularly the ones with gated units, such as long short-term memory (LSTM) and gated recurrent unit (GRU). However, the dynamic properties behind the remarkable performance remain unclear in many applications, e.g., automatic speech recognition (ASR). This paper employs visualization techniques to study the behavior...
Wide Area Motion Imagery (WAMI) are usually taken from unmaned air vehicles at low frame rates, and having very wide ground coverage. These images serve as rich source for many applications like surveillance, urban planing and traffic monitoring. Thus, understanding WAMI imagery exploitation has been gaining more interest recent years. In this paper, we focus on estimating the pose of vehicles in...
In this paper, we present a robust and fast tracking algorithm in which object tracking is achieved by solving $\ell_{2}$ -regularized least square ($\ell_{2}$ -RLS) problems in a Bayesian inference framework. First, the changing appearance of the tracked target is modeled with PCA basis vectors and square templates, which makes the tracker not only exploit the strength of subspace representation...
Recognizing objectionable content draws more and more attention nowadays given the rapid proliferation of images and videos on the Internet. Although there are some investigations about violence video detection and pornographic information filtering, very few existing methods touch on the problem of violence detection in still images. However, given its potential use in violence webpage filtering,...
It is the foundation of developing virtual prototype to construct assembly model. On the basis of that the advantages and disadvantages of the existing assembly model are pointed out through studying on relational models separately, a new virtual assembly model based on scene graphics technology of extensible group node, which is suitable to personal computer, is brought forward. Using this new scene...
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