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» The Computational Structure of Progress Conditions
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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 4 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
PPOPP
1997
ACM
15 years 1 months ago
Effective Fine-Grain Synchronization for Automatically Parallelized Programs Using Optimistic Synchronization Primitives
As shared-memory multiprocessors become the dominant commodity source of computation, parallelizing compilers must support mainstream computations that manipulate irregular, point...
Martin C. Rinard
ICCV
2003
IEEE
15 years 11 months ago
Real-Time Simultaneous Localisation and Mapping with a Single Camera
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than ...
Andrew J. Davison
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
15 years 10 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
88
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MOBIHOC
2006
ACM
15 years 9 months ago
Fundamental scaling laws for energy-efficient storage and querying in wireless sensor networks
We use a constrained optimization framework to derive fundamental scaling laws for both unstructured sensor networks (which use blind sequential search for querying) and structure...
Joon Ahn, Bhaskar Krishnamachari