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» Approximate Colored Range Queries
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TOG
2012
297views Communications» more  TOG 2012»
11 years 11 months ago
Adaptive manifolds for real-time high-dimensional filtering
We present a technique for performing high-dimensional filtering of images and videos in real time. Our approach produces high-quality results and accelerates filtering by compu...
Eduardo S. L. Gastal, Manuel M. Oliveira
BMCBI
2004
173views more  BMCBI 2004»
13 years 8 months ago
d-matrix - database exploration, visualization and analysis
Background: Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A maj...
Dominik Seelow, Raffaello Galli, Siegrun Mebus, Ha...
CVPR
1998
IEEE
14 years 10 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
ESA
2010
Springer
246views Algorithms» more  ESA 2010»
13 years 9 months ago
Estimating the Average of a Lipschitz-Continuous Function from One Sample
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Abhimanyu Das, David Kempe
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
14 years 9 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais