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WEBI
2009
Springer
14 years 2 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
14 years 1 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
TCSV
2008
102views more  TCSV 2008»
13 years 7 months ago
Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
Wen-Huang Cheng, Yung-Yu Chuang, Yin-Tzu Lin, Chi-...
PROMISE
2010
13 years 2 months ago
The role of the measure of functional complexity in effort estimation
Background. Currently there are several definitions of measures that should represent the size of software functional requirements. These measures have gained a quite relevant rol...
Luigi Lavazza, Gabriela Robiolo
ACCV
2010
Springer
13 years 2 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...