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» On the Lower Bound of Local Optimums in K-Means Algorithm
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ICALP
2004
Springer
14 years 22 days ago
Online Scheduling with Bounded Migration
Consider the classical online scheduling problem where jobs that arrive one by one are assigned to identical parallel machines with the objective of minimizing the makespan. We gen...
Peter Sanders, Naveen Sivadasan, Martin Skutella
ICCAD
1997
IEEE
108views Hardware» more  ICCAD 1997»
13 years 11 months ago
Negative thinking by incremental problem solving: application to unate covering
We introduce a new technique to solve exactly a discrete optimization problem, based on the paradigm of “negative” thinking. The motivation is that when searching the space of...
Evguenii I. Goldberg, Luca P. Carloni, Tiziano Vil...
SPAA
2004
ACM
14 years 24 days ago
Online algorithms for prefetching and caching on parallel disks
Parallel disks provide a cost effective way of speeding up I/Os in applications that work with large amounts of data. The main challenge is to achieve as much parallelism as poss...
Rahul Shah, Peter J. Varman, Jeffrey Scott Vitter
DRM
2007
Springer
14 years 1 months ago
Data structures for limited oblivious execution of programs while preserving locality of reference
We introduce a data structure for program execution under a limited oblivious execution model. For fully oblivious execution along the lines of Goldreich and Ostrovsky [2], one tr...
Avinash V. Varadarajan, Ramarathnam Venkatesan, C....
JMLR
2008
159views more  JMLR 2008»
13 years 7 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin