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» Pattern Recognition Using Functions of Multiple Instances
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133
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AAAI
2010
15 years 2 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
15 years 9 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo
143
Voted
AIPR
2006
IEEE
15 years 8 months ago
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners ...
Christoph Witzgall, Geraldine S. Cheok, Anthony J....
132
Voted
CVPR
2007
IEEE
15 years 6 months ago
On the Performance Prediction and Validation for Multisensor Fusion
Multiple sensors are commonly fused to improve the detection and recognition performance of computer vision and pattern recognition systems. The traditional approach to determine ...
Rong Wang, Bir Bhanu
132
Voted
PRL
2010
149views more  PRL 2010»
14 years 9 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques