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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
15 years 8 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICANN
1997
Springer
15 years 6 months ago
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
The processing or the recognition of non stationary process with neural networks is a challenging and yet unsolved issue. The paper discuss the general pattern recognition framewor...
Jean Rouat
ESANN
2004
15 years 3 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
SIGCOMM
2009
ACM
15 years 9 months ago
BCube: a high performance, server-centric network architecture for modular data centers
This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of the BCube architecture is its serve...
Chuanxiong Guo, Guohan Lu, Dan Li, Haitao Wu, Xuan...
129
Voted
ICS
2010
Tsinghua U.
15 years 4 months ago
Timing local streams: improving timeliness in data prefetching
Data prefetching technique is widely used to bridge the growing performance gap between processor and memory. Numerous prefetching techniques have been proposed to exploit data pa...
Huaiyu Zhu, Yong Chen, Xian-He Sun