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» A comparative study of two object recognition methods
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CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 4 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
WIAMIS
2009
IEEE
15 years 11 months ago
Motion-swarm widgets for video interaction
Computer vision systems for human-computer interaction have tended towards more precise forms of interface that require complex vision tasks such as segmentation, tracking, object...
Jeffrey E. Boyd
PR
2007
184views more  PR 2007»
15 years 3 months ago
Accurate object contour tracking based on boundary edge selection
In this paper, a novel method for accurate subject tracking, by selecting only tracked subject boundary edges in a video stream with a changing background and moving camera, is pr...
Myung-Cheol Roh, Tae-Yong Kim, Jihun Park, Seong-W...
FUIN
2007
129views more  FUIN 2007»
15 years 4 months ago
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Abstract. Identification of music instruments in polyphonic sounds is difficult and challenging, especially where heterogeneous harmonic partials are overlapping with each other....
Xin Zhang, Zbigniew W. Ras
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
16 years 5 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung