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» Building Shape Models from Lousy Data
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148
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NECO
1998
168views more  NECO 1998»
15 years 3 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
154
Voted
OSDI
2008
ACM
16 years 4 months ago
HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
Armando Fox, Moisés Goldszmidt, Peter Bod&i...
139
Voted
CVPR
2010
IEEE
15 years 12 months ago
Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion
In this paper, we present a new framework for non-rigid structure from motion (NRSFM) that simultaneously addresses three significant challenges: severe occlusion, perspective ca...
Shengqi Zhu, Li Zhang, Brandon Smith
149
Voted
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 8 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
116
Voted
DAGM
2010
Springer
15 years 4 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter