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ICML
2006
IEEE
14 years 8 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 7 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
IROS
2009
IEEE
165views Robotics» more  IROS 2009»
14 years 2 months ago
Autonomous altitude estimation of a UAV using a single onboard camera
Abstract— Autonomous estimation of the altitude of an Unmanned Aerial Vehicle (UAV) is extremely important when dealing with flight maneuvers like landing, steady flight, etc. ...
Anoop Cherian, Jonathan Andersh, Vassilios Morella...
OPODIS
2008
13 years 9 months ago
Byzantine Consensus with Unknown Participants
Abstract. Consensus is a fundamental building block used to solve many practical problems that appear on reliable distributed systems. In spite of the fact that consensus is being ...
Eduardo Adílio Pelinson Alchieri, Alysson N...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...