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NECO
2011
13 years 2 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
IANDC
2010
84views more  IANDC 2010»
13 years 6 months ago
Underapproximation for model-checking based on universal circuits
For two naturals m, n such that m < n, we show how to construct a circuit C with m inputs and n outputs, that has the following property: for some 0 ≤ k ≤ m, the circuit de...
Arie Matsliah, Ofer Strichman
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 22 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
IPPS
2007
IEEE
14 years 2 months ago
VoroNet: A scalable object network based on Voronoi tessellations
In this paper, we propose the design of VoroNet, an objectbased peer to peer overlay network relying on Voronoi tessellations, along with its theoretical analysis and experimental...
Olivier Beaumont, Anne-Marie Kermarrec, Loris Marc...
PLDI
2011
ACM
12 years 10 months ago
EnerJ: approximate data types for safe and general low-power computation
Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy trade-offs is an attractive choice in applications that can tolerate inaccuracies. Re...
Adrian Sampson, Werner Dietl, Emily Fortuna, Danus...