به نام خدا
Title: Tracking On-line Radicalization Using Investigative Data Mining
Authors: Pooja Wadhwa, MPS Bhatia
Abstract: The increasing complexity and emergence of Web 2.0 applications have paved way for threats arising out of the use of social networks by cyber extremists (Radical groups). Radicalization (also called cyber extremism and cyber hate propaganda) is a growing concern to the society and also of great pertinence to governments & law enforcement agencies all across the world. Further, the dynamism of these groups adds another level of complexity in the domain, as with time, one may witness a change in members of the group and hence has motivated many researchers towards this field. This proposal presents an investigative data mining approach for detecting the dynamic behavior of these radical groups in online social networks by textual analysis of the messages posted by the members of these groups along with the application of techniques used in social network analysis. Some of the preliminary results obtained through partial implementation of the approach are also discussed.
Publish Year: 2013
Published in: NCC - IEEE
Number of Pages: 5
موضوع: کاربردهای داده کاوی
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Query-Specific Visual Semantic Spaces for Web Image Re-ranking
Authors: Xiaogang Wang,Ke Liu,Xiaoou Tang,
Abstract: Image re-ranking, as an effective way to improve the re-sults of web-based image search, has been adopted by cur-rent commercial search engines. Given a query keyword, apool of images are first retrieved by the search engine basedon textual information. By asking the user to select a queryimage from the pool, the remaining images are re-rankedbased on their visual similarities with the query image. Amajor challenge is that the similarities of visual features donot well correlate with images_ semantic meanings whichinterpret users_ search intention. On the other hand, learn-ing a universal visual semantic space to characterize highlydiverse images from the web is difficult and inefficient.In this paper, we propose a novel image re-rankingframework, which automatically offline learns different vi-sual semantic spaces for different query keywords throughkeyword expansions. The visual features of images are pro-jected into their related visual semantic spaces to get se-mantic signatures. At the online stage, images are re-rankedby comparing their semantic signatures obtained from thevisual semantic space specified by the query keyword. Thenew approach significantly improves both the accuracy andefficiency of image re-ranking. The original visual featuresof thousands of dimensions can be projected to the seman-tic signatures as short as 25 dimensions. Experimental re-sults show that 20% - 35% relative improvement has beenachieved on re-ranking precisions compared with the state-of-the-art methods.
Publish Year: 2011
Published in: CVPR - IEEE
Number of Pages: 8
موضوع: وب معنایی
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Video Based Palmprint Recognition
Authors: Chhaya Methani and Anoop M Namboodiri
Abstract: The use of camera as a biometric sensor is desir-able due to its ubiquity and low cost, especially for mo-bile devices. Palmprint is an effective modality in suchcases due to its discrimination power, ease of presen-tation and the scale and size of texture for capture bycommodity cameras. However, the unconstrained na-ture of pose and lighting introduces several challengesin the recognition process. Even minor changes in poseof the palm can induce significant changes in the vis-ibility of the lines. We turn this property to our ad-vantage by capturing a short video, where the naturalpalm motion induces minor pose variations, providingadditional texture information. We propose a method toregister multiple frames of the video without requiringcorrespondence, while being efficient. Experimental re-sults on a set of different 100 palms show that the use ofmultiple frames reduces the error rate from 12.75% to4.7%. We also propose a method for detection of poorquality samples due to specularities and motion blur,which further reduces the EER to 1.8%.
Publish Year: 2010
Publisher: ICPR - IEEE
Number of Pages: 4
موضوع: تشخیص اثر کف دست
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
