Guo, "Variable sliding window DTW speech iden- tification algorithm," in The 9th International Conference on Hybrid Intelligent Systems, vol. 1, Aug. 2009, pp. 304-307.Guangyu Kang "Variable sliding window DTW speech identification algorithm" IEEE.2009....
The structure of the remaining paper is as follows: The second section provides an introduction to the relevant technical background knowledge. The third section presents the proposed algorithm, where the limitations and issues of fixed sliding window mining for data streams are first discussed, and ...
1) variable-length-sliding-window algorithm 相变温度平台2) equilibrium transformation temperature 相变平衡温度3) phase transition temperature 相变温度 1. Effect of high-energy ball milling on phase transition temperature of nano-Al_2O_3 powders; 高能振动球磨作用对纳米Al_2O_3相变温度的影响 2....
3) sliding window 滑动窗口 1. Optimal size of thesliding windowin flow control; 滑动窗口流量控制中的窗口大小计算 2. Based on thesliding windowof the counting vehicle and location forecast; 基于滑动窗口的车辆计数和位置预测 3. Optimal algorithm of data streams clustering onsliding windowmodel; ...
The algorithm of application level congestion control was proposed and the transmission reliability of SOAP message was discussed with respect to four exception cases. Finally, the two main impact factors for the transmission efficiency based on variable sliding window such as the size of the sliding...
In dictionary coding, LZ77 refers to the Sliding Window Lempel-Ziv algorithm created in 1977 by Abraham Lempel and Jacob Ziv. LZW (Lempel-Ziv-Welch) refers to the universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. LZ77 algorithms achieve compressio...
Second, using a graph cut algorithm, it fits a hidden Markov random field to the gene’s log-transformed expression levels on the spot graph to divide the spots into segments. Finally, it tests whether each discretized level is randomly distributed in each segment, using the homogeneous Poisson...
Window Sliding τ times in MTPSO-Dynamic On Demand Allocation (MTPSO-DA) [3] Algorithm. The desired principal component in ASCMFDE [53] is c. This algorithm consists of the following parts: population initialization, K-means clustering, the calculation of the W distance, the construction of...
with thresholds determined at two inflection points of the eigenvalue curve, identified using the Keedle algorithm59. For each gene, SpaGFT calculates a GFT score, which is a weighted sum of the gene’s coefficients for all components, where lower-frequency components are assigned larger weights...
(SISO) scheme. In place of the SISO scheme, the turbo decoder can also be implemented with a maximum a posteriori (MAP) scheme or a register exchange soft output Viterbi algorithm (RESOVA). Here, the SISO scheme computes reliable probability values for symbols, and the RESOVA computes ...