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In this paper, we design the uplink transceiver for a new multiuser (MU) massive spatial modulation (SM) multiple-input–multiple-output (SM-MIMO) system over frequency-selective fading channels, where the base station (BS) is equipped with massive antennas, and user equipment (UE) has multiple transmit antennas (TAs) but only one radio-frequency (RF) chain. UE transmit data bits to the BS simultaneously...
In this paper, we propose a very simple face recognition method. This method first exploits a linear combination of all the training samples to express the test sample. Then it evaluates the capability of each class in expressing the test sample and assigns the test sample to the class that has the strongest capability. Using the expression result, the proposed method can classify the testing sample...
In this work, we investigate the problem of general event classification from uncontrolled YouTube videos. It is a challenging task due to the number of possible categories and large intra-class variations. On one hand, how to define proper event category labels and how to obtain training samples for these categories need to be explored; on the other hand, it is non-trivial to achieve satisfactory...
in this paper, a three-layer Discriminative-Adaptive Neural Network algorithm (DANN) is proposed in indoor Positioning System. By using Multivariate Discriminant Analysis, a weight matrix could be acquired, then it could input these weighting signals into the Neural Network for training, and it could get a minimum mean square error, finally, we could get the Minimum error positioning results. Experimental...
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of video quality. This paper presents a large scale video taxonomic classification scheme (with more than 1000 categories) tackling these issues. Taxonomic structure of categories is deployed in classifier training. To compensate...
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the presence of missing, sparse or noisy labels. We propose to achieve this by first manually creating a small labeled set and then extending it using additional sources such as related videos, searched videos, and text-based webpages...
Restriction of normal speech from Chinese whispered speech based on radial basis function neural network (RBF NN) is proposed in this paper. Firstly, capture the nonlinear mapping of spectral envelope between whispered and normal speech by RBF NN; secondly, modify the spectral envelope of the whispered speech by adopting the trained neural network; finally, convert the whispered speech into normal...
Performance models provide the ability to predict application performance for a given set of hardware resources and are used for capacity planning and resource management. Traditional performance models assume the availability of dedicated hardware for the application. With growing application deployment on virtualized hardware, hardware resources are increasingly shared across multiple virtual machines...
Text detection in images is important for the retrieval of text information from digital graph, video databases and web sites. In this paper, a text detection method based on sparse representation classification with discrimination dictionaries is presented, which can detect text with different sizes, fonts and colors. The propose method detects edge information using Sobel operator and a sliding...
With the rapid developing of the network information, it seems to be quite important to provide a more reasonable text classification algorithm for learners. In this paper,we adopt a sensitivity method to modify the characteristic weight in the distance formula and put up with a cutting method of training sample database based on CURE algorithm and Tabu algorithm; then adopt CURE cluster algorithm...
Agile methods such as XP (extreme programming) emphasize the adaptation to changes, the collaboration with customers and the role of individuals. The project manager, developer and customer should have a tactic to handle the uncertain factors and the management conflicts in software development process. XP's on-site customer practice makes the customer play a important role in development process,...
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