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» Analyzing Resource Behavior Using Process Mining
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ICIP
2009
IEEE
13 years 5 months ago
Detecting and eliminating chromatic aberration in digital images
Chromatic aberration is a form of distortion in color optical devices that produces undesirable color fringes along borders within images. In this paper, we propose a novel method...
Soon-Wook Chung, Byoung-Kwang Kim, Woo-Jin Song
ICIP
2001
IEEE
14 years 9 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
EDBT
2010
ACM
170views Database» more  EDBT 2010»
13 years 11 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 2 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 8 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius