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» Efficient learning algorithms for changing environments
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134
Voted
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
15 years 9 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
15 years 8 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
VRST
1997
ACM
15 years 8 months ago
Surface deformation using the sensor glove
Intuitive 3D surface control and deformation are crucial to CAD/CAM. To do this in a virtual environment, however, the technique must be very efficient. A common method for shape ...
Lizhuang Ma, Rynson W. H. Lau, Jieqing Feng, Qunsh...
129
Voted
CVPR
2010
IEEE
15 years 12 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 4 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda