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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
PODC
2004
ACM
15 years 3 months ago
Computation in networks of passively mobile finite-state sensors
We explore the computational power of networks of small resource-limited mobile agents. We define two new models of computation based on pairwise interactions of finite-state ag...
Dana Angluin, James Aspnes, Zoë Diamadi, Mich...
INFOCOM
2010
IEEE
14 years 8 months ago
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Abstract—The problem of cooperative allocation among multiple secondary users to maximize cognitive system throughput is considered. The channel availability statistics are initi...
Animashree Anandkumar, Nithin Michael, Ao Tang
PDCN
2004
14 years 11 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
IMC
2010
ACM
14 years 8 months ago
Measuring the mixing time of social graphs
Social networks provide interesting algorithmic properties that can be used to bootstrap the security of distributed systems. For example, it is widely believed that social networ...
Abedelaziz Mohaisen, Aaram Yun, Yongdae Kim