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CVPR
1998
IEEE
16 years 8 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
GIS
2009
ACM
16 years 7 months ago
Map-Matching for Low-Sampling-Rate GPS Trajectories
Map-matching is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications...
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei ...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
IPSN
2005
Springer
16 years 4 days ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
INFOVIS
2003
IEEE
15 years 12 months ago
Constant Density Displays Using Diversity Sampling
The Informedia Digital Video Library user interface summarizes query results with a collage of representative keyframes. We present a user study in which keyframe occlusion caused...
Mark Derthick, Michael G. Christel, Alexander G. H...