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FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
CVPR
2011
IEEE
13 years 2 months ago
Proposal Generation for Object Detection using Cascaded Ranking SVMs
Object recognition has made great strides recently. However, the best methods, such as those based on kernelSVMs are highly computationally intensive. The problem of how to accele...
Ziming Zhang, Jonathan Warrell, Philip Torr
ICCV
2007
IEEE
14 years 9 months ago
Real-time Accurate Object Detection using Multiple Resolutions
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...
JIPS
2006
80views more  JIPS 2006»
13 years 7 months ago
Distance Functions to Detect Changes in Data Streams
: One of the critical issues in a sensor network concerns the detection of changes in data streams. Recently presented change detection schemes primarily use a sliding window model...
Ulziitugs Bud, JongTae Lim
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 9 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha