توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱The Comparison of Face Detection Methods in Angled Mode
اطلاعات انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر، سال
تعداد صفحات: ۵
the necessity to use the new technologies and carrying out more detailed studies based on identification of best methods in order to detect people’s face with respect to modes and position angles in the image, prompted the researchers to further focus on this issue. What issue in the event of face detection is always intended as a question mark of full knowledge and ingenuity, is to achieve results in line with targeting of scientific and security agencies. Therefore, with increasing the risks of terrorism and the necessity to identify the suspect people in doing such actions, carrying out a comprehensive study in order to collect the most new face detection techniques is inevitable. In this paper, we studied and compared five modern methods in face detection that include IWC–F, Eignfaces, Fuzzy–IWO, FLDA–PCA, Fuzzy–Ga, FisherFace. We evaluated these methods on the same terms and with the ORL standard dataset and presented the results in detail. In this paper we find that the FisherFace algorithm has better results than other algorithms in the presented database.<\div>

۲A Review of Some Semi–Supervised Learning Methods
اطلاعات انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر، سال
تعداد صفحات: ۶
in recent years the use of data–mining techniques as well as smart algorithms has become common. Several tasks, formerly done at the expense of significant amounts of time and money, can be performed by means of these techniques and algorithms. On the other hand, many of our sources are textual ones. During all these years, there have been different classifications with varying approaches for this task. It is noteworthy that the possibility of automatization of these classifications relies on new texts. This paper deals with basic concepts, concerning data–mining and text–mining, reviewing some semi–supervised learning methods. It also gives a review some common algorithms in this area and finally presents the summary and conclusion.<\div>

۳A review of the methods of watermarking in digital texts
اطلاعات انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر، سال
تعداد صفحات: ۶
Since the beginning of digitization of natural and legal documents, owners of documents are always looking for a good way to protect copyright. Due to the large volume of text information in today's world and sharing them on the Internet there is the need to do research in this field and encryption and steganography of digital documents as a secret technique in digital texts, can be of great use. An issue that is seriously considered today is preventing forgery of electronic documents and applying copyright in a hidden way in document. In this article, we examine five watermarking methods for digital texts including: point insertion method, change the shape of the letters, and insert stretch characters between characters of the words, the developed method of inserting stretch characters between characters of the words and the improved لا method. Methods mentioned are thoroughly explained<\div>
نمایش نتایج ۱ تا ۳ از میان ۳ نتیجه