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» Surrogate data: A novel approach to object detection
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FSS
2006
86views more  FSS 2006»
15 years 6 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
ECCV
2004
Springer
16 years 8 months ago
Recognizing Objects in Range Data Using Regional Point Descriptors
Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research i...
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas B...
EMNLP
2009
15 years 3 months ago
Classifier Combination for Contextual Idiom Detection Without Labelled Data
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...
Linlin Li, Caroline Sporleder
HAIS
2011
Springer
14 years 9 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
WWW
2009
ACM
16 years 6 months ago
A hybrid phish detection approach by identity discovery and keywords retrieval
Phishing is a significant security threat to the Internet, which causes tremendous economic loss every year. In this paper, we proposed a novel hybrid phish detection method based...
Guang Xiang, Jason I. Hong