17 search results - page 3 / 4 » Sampling time-based sliding windows in bounded space |
ICASSP
2010
IEEE
14 years 8 months ago
2010
IEEE
The sliding window approach is the most widely used technique to detect faces in an image. Usually a classifier is applied on a regular grid and to speed up the scanning, the gri...
PODS
2010
ACM
15 years 2 months ago
2010
ACM
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
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TKDE
2008
14 years 9 months ago
2008
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...