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» Using Top-Points as Interest Points for Image Matching
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CISST
2003
83views Hardware» more  CISST 2003»
13 years 10 months ago
Computational Efficiency of Structural Image Matching
This paper addresses computational efficiency issues of a new algebraic method for imagery registration/conflation. An algebraic approach to conflation/registration of images does ...
Richard Chase, Boris Kovalerchuk
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 3 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
14 years 2 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...
ICIP
2010
IEEE
13 years 6 months ago
Sampling-aware polar descriptors on the sphere
We present a new descriptor and feature matching solution for omnidirectional images. The descriptor builds on the log-polar planar descriptors, but adapts to the specific geometr...
Zafer Arican, Pascal Frossard
ICCV
2009
IEEE
13 years 6 months ago
Video scene categorization by 3D hierarchical histogram matching
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classifica...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...