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» The Computational Structure of Progress Conditions
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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 6 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 4 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
16 years 1 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»
16 years 4 days 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...
MOBIHOC
2006
ACM
15 years 11 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