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The HEVC(H.265) has brought in significant improvements in terms of coding efficiency. However, the reduction in bitrates comes along with an increment in computational complexity. This paper presents a data mining approach to reduce the complexity of inter partition modes in HEVC. Determining the CU-splitting in inter partition modes requires substantial resources, so the goal of the work is to terminate...
The injection stretch blow moulding (ISBM) has been widely applied in polyethylene terephthalate bottles production process. The modelling of the blowing conditions is important for the control of the process. In this paper, a nonparametric modelling method namely Gaussian Process is employed and applied to estimate the section weights during the process. A key issue in Gaussian Process modelling...
Nonlinear Fisher Discriminant Analysis for binomial problems can be converted into a Linear-In-The-Parameters classifier model by introducing a least-squares cost function. However, the complexity of the classifier scales with the number of training samples, which makes it difficult to use on large data sets. A popular solution is to adopt a sub-model selection approach, such as Orthogonal Least Squares...
Maintaining a synopsis structure dynamically from data stream is vital for a variety of streaming data applications, such as approximate query or data mining. In many cases, the significance of data item in streams decays with age: this item perhaps conveys critical information first, but, as time goes by, it gets less and less important until it eventually becomes useless. This characteristic is...
The single-sequence (simply SS) is an effective and efficient representation of non-slicing floorplan, which utilizes permutation of integers 1, 2, 3hellip, n to represent sets of ABLR-relations (above, below, left-of, right-of) that hold among n objects on the plane without overlapping. For fast decoding SS code, horizontal and vertical contours (HVC) are introduced. From geometrical information...
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