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SIGCOMM
2012
ACM
13 years 7 months ago
AutoNetkit: simplifying large scale, open-source network experimentation
We present a methodology that brings simplicity to large and comt labs by using abstraction. The networking community has appreciated the value of large scale test labs to explore...
Simon Knight, Askar Jaboldinov, Olaf Maennel, Iain...
159
Voted
JMLR
2012
13 years 7 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
TOG
2012
253views Communications» more  TOG 2012»
13 years 7 months ago
Exploring collections of 3D models using fuzzy correspondences
Large collections of 3D models from the same object class (e.g., chairs, cars, animals) are now commonly available via many public repositories, but exploring the range of shape v...
Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephe...
SIGIR
2012
ACM
13 years 7 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
154
Voted
CVPR
2012
IEEE
13 years 7 months ago
Curvature-based regularization for surface approximation
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
Carl Olsson, Yuri Boykov
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