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» Computing Small Search Numbers in Linear Time
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CVPR
2007
IEEE
14 years 11 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
CP
2009
Springer
14 years 9 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang
CVPR
2010
IEEE
14 years 5 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
PDP
2009
IEEE
14 years 3 months ago
Modelling the Internet Delay Space Based on Geographical Locations
Existing approaches for modelling the Internet delay space predict end-to-end delays between two arbitrary hosts as static values. Further, they do not capture the characteristics...
Sebastian Kaune, Konstantin Pussep, Christof Leng,...
GLOBECOM
2006
IEEE
14 years 3 months ago
Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
Ian C. Wong, Brian L. Evans