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ITCC
2002
IEEE
13 years 9 months ago
A Classified and Comparative Study of Edge Detection Algorithms
Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper introduces a...
Mohsen Sharifi, Mahmood Fathy, Maryam Tayefeh Mahm...
CIKM
2006
Springer
13 years 8 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
MM
1995
ACM
139views Multimedia» more  MM 1995»
13 years 8 months ago
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Ramin Zabih, Justin Miller, Kevin Mai
CORR
2008
Springer
140views Education» more  CORR 2008»
13 years 5 months ago
Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift
Abstract. This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the crossregulation model. We report on the testing of a...
Alaa Abi-Haidar, Luis Mateus Rocha
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 5 months ago
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms
The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation ...
Julie Greensmith, Jan Feyereisl, Uwe Aickelin