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» Distributed Approximation Algorithm for Resource Clustering
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 2 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
INFOCOM
2010
IEEE
15 years 17 days ago
Max-Contribution: On Optimal Resource Allocation in Delay Tolerant Networks
—This is by far the first paper considering joint optimization of link scheduling, routing and replication for disruption-tolerant networks (DTNs). The optimization problems for...
Kyunghan Lee, Yung Yi, Jaeseong Jeong, Hyungsuk Wo...
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 5 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
AAAI
2008
15 years 4 months ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe
CCGRID
2004
IEEE
15 years 5 months ago
Routing and resource discovery in Phoenix Grid-enabled message passing library
We describe design and implementation of a "Gridenabled" message passing library, in the context of Phoenix message passing model. It supports (1) message routing betwee...
Kenji Kaneda, Kenjiro Taura, Akinori Yonezawa