Compression of weighted graphs. Toivonen H,Zhou F,Hartikainen A, et al. The17thACM SIGKDD Conference on Knowledge Discovery and Data Mining . 2011H. Toivonen,F. Zhou, et al.Compression of weighted graphs. Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and ...
Compression of Weighted Graphs Categories and Subject DescriptorsToivonen, Hannu
(论文)结合二代小波与快速傅里叶变换的电能质量数据压缩算法 A Power Quality Data Compression Algorithm in Combination of Second Generation Wavelet Packets and Fast Fourier Transform 热度: BEKK模型与DCC模型的相似与相异Do We really ned Both BEKK and DCC ...
At the intersection of Topological Data Analysis (TDA) and machine learning, the field of cellular signal processing has advanced rapidly in recent years.
To achieve these bounds, we introduce several new techniques and data structures of independent interest, including a predecessor data structure, two biased weighted ancestor data structures, and a compact representation of heavy-paths in grammars. 阅读PDF CCF-A 31 被引用 · 0 笔记 引用 Path ...
2019-ICLR-Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking 2019-ICLR-RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks 2019-ICLR-Dynamic Sparse Graph for Efficient Deep Learning 2019-ICLR-Big-Little Net: An...
We survey the conceptual framework and several applications of the iterative compression technique introduced in 2004 by Reed, Smith, and Vetta. This technique has proven very useful for achieving a number of recent breakthroughs in the development of...
between reconstructed RBs. For smoothing, the best method seems to be local regression using weighted linear least squares and a 2nd degree polynomial model. In some signals, smoothing improves the quality of the signal after compression and reconstruction and in some signals the quality is worsen....
Predicting the time rate of consolidation is one of the major aspects of structure design, founded on compressible fine-grained soil. The time to achieve t
Delta compression techniques encode a target file with respect to one or more reference files, such that a decoder who has access to the same reference files can recreate the target file from the compressed data. Delta compression is usually applied in cases where there is a high degree of re...