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ICIP
2003
IEEE
15 years 11 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García
ICPR
2008
IEEE
15 years 11 months ago
A covariance-based method for dynamic background subtraction
Background subtraction in dynamic scenes is an important and challenging task. In this paper, we present a novel and effective method for dynamic background subtraction based on c...
Hongxun Yao, Shaohui Liu, Shengping Zhang, Wen Gao...
EDBT
2008
ACM
125views Database» more  EDBT 2008»
15 years 10 months ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen
INCDM
2009
Springer
96views Data Mining» more  INCDM 2009»
15 years 4 months ago
Ordinal Evaluation: A New Perspective on Country Images
We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and ...
Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof
ICTAI
2007
IEEE
15 years 4 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu