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NN
2006
Springer
113views Neural Networks» more  NN 2006»
15 years 4 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
NIPS
1997
15 years 5 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
ICS
2003
Tsinghua U.
15 years 9 months ago
miNI: reducing network interface memory requirements with dynamic handle lookup
Recent work in low-latency, high-bandwidth communication systems has resulted in building user–level Network InControllers (NICs) and communication abstractions that support dir...
Reza Azimi, Angelos Bilas
EUROSYS
2009
ACM
15 years 8 months ago
Effective and efficient compromise recovery for weakly consistent replication
Weakly consistent replication of data has become increasingly important both for loosely-coupled collections of personal devices and for large-scale infrastructure services. Unfor...
Prince Mahajan, Ramakrishna Kotla, Catherine C. Ma...
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
15 years 10 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...