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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 9 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
SIGGRAPH
1987
ACM
15 years 9 months ago
Generating antialiased images at low sampling densities
Ray tracing produces point samples of an image from a 3-D model. Constructing an antialiased digital picture from point samples is difficult without resorting to extremely high sa...
Don P. Mitchell
174
Voted
BMVC
2002
15 years 8 months ago
Teleoperating ROBONAUT: A case study
In this paper, we present a non-intrusive method for human motion estimation from a monocular video camera for the teleoperation of ROBONAUT (ROBOtic astroNAUT). ROBONAUT is an an...
G. Martinez, Ioannis A. Kakadiaris, Darby Magruder
AAAI
2007
15 years 8 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
157
Voted
FLAIRS
2010
15 years 8 months ago
Learning to Identify and Track Imaginary Objects Implied by Gestures
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
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