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135
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JMIV
2006
176views more  JMIV 2006»
15 years 22 days ago
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
In this paper, we propose to focus on the segmentation of vectorial features (e.g. vector fields or color intensity) using region-based active contours. We search for a domain that...
Ariane Herbulot, Stéphanie Jehan-Besson, St...
SAC
2006
ACM
15 years 6 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
125
Voted
CORR
2011
Springer
207views Education» more  CORR 2011»
14 years 7 months ago
Detection of Spatial Changes using Spatial Data Mining
This paper uses the techniques of spatial data mining (SDM) and change detection (CD) in the field of geospatial information processing. Assuming the feasibility of discovering kno...
B. G. Kodge, P. S. Hiremath
85
Voted
ICPR
2004
IEEE
16 years 1 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a co...
Dan Tretter, Huitao Luo, Jonathan Yen
117
Voted
IC3
2009
14 years 10 months ago
Local Subspace Based Outlier Detection
Abstract. Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces b...
Ankur Agrawal