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135
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CPAIOR
2005
Springer
15 years 9 months ago
Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Jeremy Frank, Elif Kürklü
ICCV
2003
IEEE
16 years 5 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
133
Voted
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
16 years 4 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
130
Voted
ICIP
2007
IEEE
15 years 3 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang
147
Voted
ICML
2002
IEEE
16 years 4 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...