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» Distributed Data Clustering Can Be Efficient and Exact
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ICML
2008
IEEE
16 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
DAMON
2008
Springer
15 years 8 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
EUROSYS
2007
ACM
16 years 3 months ago
Sprint: a middleware for high-performance transaction processing
Sprint is a middleware infrastructure for high performance and high availability data management. It extends the functionality of a standalone in-memory database (IMDB) server to ...
Lásaro J. Camargos, Fernando Pedone, Marcin...
TMC
2010
138views more  TMC 2010»
15 years 4 months ago
Distributed Relay-Assignment Protocols for Coverage Expansion in Cooperative Wireless Networks
—One important application of cooperative communications is to extend coverage area in wireless networks without increasing infrastructure. However, a crucial challenge in implem...
Ahmed K. Sadek, Zhu Han, K. J. Ray Liu
ICCV
2009
IEEE
16 years 11 months ago
A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
In this paper, we present a novel algorithm for partial intrinsic symmetry detection in 3D geometry. Unlike previous work, our algorithm is based on a conceptually simple and st...
Ruxandra Lasowski, Art Tevs, Hans-Peter Seidel, Mi...