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Course: MMIR

Models of information retrieval. Nearest neighbors, range queries, hash algorithms. PLSA and topic models vector space models. Text categorization, analysis, tagging, parsing. Content based image and video retrieval. Image retrieval based on color, texture, and shape. Visual bag of words model. Grouping, static and motion segmentation, scene cuts. Geometric indexing, verification, and object recognition. Automatic annotation and categorization. HMM-based methods (audio, video, music, document retrieval).

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Course: MMIR | mmir.iupr.com Reviews
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Models of information retrieval. Nearest neighbors, range queries, hash algorithms. PLSA and topic models vector space models. Text categorization, analysis, tagging, parsing. Content based image and video retrieval. Image retrieval based on color, texture, and shape. Visual bag of words model. Grouping, static and motion segmentation, scene cuts. Geometric indexing, verification, and object recognition. Automatic annotation and categorization. HMM-based methods (audio, video, music, document retrieval).
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Course: MMIR | mmir.iupr.com Reviews

https://mmir.iupr.com

Models of information retrieval. Nearest neighbors, range queries, hash algorithms. PLSA and topic models vector space models. Text categorization, analysis, tagging, parsing. Content based image and video retrieval. Image retrieval based on color, texture, and shape. Visual bag of words model. Grouping, static and motion segmentation, scene cuts. Geometric indexing, verification, and object recognition. Automatic annotation and categorization. HMM-based methods (audio, video, music, document retrieval).

INTERNAL PAGES

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1

Papers - Course: MMIR

http://mmir.iupr.com/papers

Oct 28, 2013, 8:44 AM. Oct 28, 2013, 8:45 AM. Oct 28, 2013, 8:45 AM.

2

Exercises - Course: MMIR

http://mmir.iupr.com/exercises

Admission (Zulassung) to the exam is only possible by completing at least 50% of the assignments averaged over all handed out tasks. These are exercises to do at home. Some of them are optional, some need to be handed in. Exercises that need to be handed in are specially marked. Exercises should be submitted to byeon@iupr.com. Generally the preferred way of submitting your results is handing in your iPython Notebook Worksheets (. Exercise 1 (Lecture 2). Submission Deadline: 7 November 2013 at 11:59.

3

Report Abuse

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By submitting this form, you are alerting the Google Sites team that this site has content that is in violation of our Terms of Use. Why are you reporting the content on this Site as inappropriate? This Site contains spam. This Site contains phishing. This Site contains malware. This Site contains sexually explicit material (like pornography or nudity). This Site contains content that is harassing me or someone else. This Site promotes violence or has hate speech.

4

Recent site activity - Course: MMIR

http://mmir.iupr.com/system/app/pages/recentChanges

Feb 17, 2014, 7:42 AM. Wonmin Byeon edited Multimedia Information Retrieval. Feb 17, 2014, 7:42 AM. Wonmin Byeon edited Multimedia Information Retrieval. Feb 6, 2014, 3:46 AM. Thomas M. Breuel edited Questions. Feb 6, 2014, 1:37 AM. Wonmin Byeon edited Lectures. Feb 6, 2014, 1:32 AM. Wonmin Byeon attached 70-hough-transform-lines-slides.pdf. Feb 6, 2014, 1:32 AM. Wonmin Byeon attached 72-ransac-lines-slides.pdf. Feb 6, 2014, 1:32 AM. Wonmin Byeon attached 74-rast-lines-slides.pdf. Feb 6, 2014, 1:32 AM.

5

Questions - Course: MMIR

http://mmir.iupr.com/questions

Name common commercial applications of multimedia information retrieval. Describe specific, common multimedia information retrieval tasks (what do queries look like? What is stored in the database? Write a Python / NumPy / SciPy function to . Define: precision, recall, 11-point P/R graph, F-measure, mean average precision, true/false positive/negative, ROC curve, DET curve. Describe the vector space model of text information retrieval. Describe the process of tokenization. What is an MD5 checksum? How ar...

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Teaching - IUPR Research Group

http://www.iupr.com/teaching

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. 89-7002 Lernen und Wahrnehmen. Fähigkeit, lineare und nichtlineare Filter auszuwählen, zu implementieren und anzuwenden. Entwicklung von Mustererkennungssystemen in numerischen Umgebungen. Fähigkeit, Daten zu analysieren und Features zu extrahieren. Anwendung und Validierung von maschinellen Lernverfahren auf realen Daten. Vector Quantization, k-means. Comput...

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Public Files - IUPR Research Group

http://www.iupr.com/files

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. These are a few public files for general download. There may also be files on the IUPR internal site. OpenOffice Impress Plain Template, Big Fonts. Feb 23, 2010, 7:00 AM. Thomas M. Breuel. Run this script. Afterwards, while CAPS-LOCK is pressed, ÄÖÜäöü are on their normal German locations, s gives ß, and hjkl are mapped to arrow keys. Mar 1, 2011, 2:29 PM.

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Jobs - IUPR Research Group

http://www.iupr.com/jobs

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. Applying and Contacting Us. No Job openings right now.

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Recent site activity - IUPR Research Group

http://www.iupr.com/system/app/pages/recentChanges

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. Apr 23, 2015, 5:32 AM. Ingrid Romani edited IUPR. Aug 31, 2014, 2:22 AM. Thomas M. Breuel edited Thomas Breuel. Aug 6, 2014, 7:56 AM. Ingrid Romani edited IUPR. Aug 6, 2014, 7:32 AM. Ingrid Romani edited IUPR. May 26, 2014, 5:52 AM. Ingrid Romani edited IUPR. May 21, 2014, 9:50 PM. Thomas M. Breuel edited IUPR. May 21, 2014, 9:50 PM. May 21, 2014, 9:48 PM.

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Ph.D. Information - IUPR Research Group

http://www.iupr.com/phd-resources

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. Before starting a Ph.D., and as part of starting to work with an advisor, you should write a Ph.D. proposal. You also need a Ph.D. proposal in order to apply for many financial aid fellowship or scholarship programs. There is a lot of material on the web. About writing Ph.D. proposals. The UNC collection of proposals. Is generally pretty good. Catch up on any...

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Paper Writing - IUPR Research Group

http://www.iupr.com/paper-writing

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. Writing papers is a prerequisite for getting a Ph.D., and you should generally plan on publishing 1-2 conference papers per year, and at least one journal paper, while you are getting your Ph.D. For getting a Ph.D. with honors, you should aim for publications in the key conferences and journals in your area. A longer discussion of Paper Structure. Do not copy...

iupr.com iupr.com

Course Planning - IUPR Research Group

http://www.iupr.com/course-planning

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. The following spreadsheet describes our tentative plans for when we will be offering what courses. Please note that this is not official or binding and may change at any time. For the official course planning, please see the official departmental documents.

iupr.com iupr.com

Members - IUPR Research Group

http://www.iupr.com/members

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. IUPR Group Members (Web). IUPR former group members (web).

iupr.com iupr.com

Directions - IUPR Research Group

http://www.iupr.com/directions

Neural Computation and Self Organization. Foundations and Frontiers of AI. Document and Content Analysis. Image Processing and Image Understanding. Directions to the Research Group. This map shows the approximate location of our research group, in Building 48. The map is interactive, so you can get directions from the railway station or by car. IUPR, Building 48, Room 459 (U. Kaiserslautern, Gottlieb-Daimler-Str.). Map of the University. Thomas M. Breuel,. Dec 8, 2009, 5:18 AM.

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عشــــق،محبـــــت

قانعم به يادت پس يادت را از من نگير. كه يادت، مهربانترين تصوير دنياست. نوشته شده در یکشنبه بیست و چهارم دی ۱۳۹۱ ساعت 20:5 توسط محبوبه م. به نام خداوند جان و خرد. خداي خوبم بالاخره كمكم كردي بالاخره جواب دعاهايم را دادي. خداي خوبم ازت ممنونم، خيلي خوشحالم امروز برام روز خوبي بود ،خيلي خوب. تصميم گرفتم كه زيبا فكر كنم،. تصميم گرفتم كه باور كنم زندگي كردن را. تصميم گرفتم هميشه و در همه حال شكرت كنم. حالا فهميدم كه هر دعايي زماني دارد تا به اجابت برسه. پس شكر شكر شكر. معاشقه ام با معبود. همه اينها را ميدانم.

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در حال حاظر وبسایت در دست باز سازی میباشد . تا اطلاع ثانوی. غیر فعال است,. در این مدت شما میتوانید برای مشاهده مدلها به وبسایت هیوا مبل مراجعه نمایید. ما در حال رفع مشکلات هستیم:. دریافت خبرنامه هنگام در دسترس قرار گرفتن وبسایت! 0914 - 566 - 30 -13. ملایر /میدان کوثر /ابتدای جاده همدان /بعد از پمپ بنزین /سمت راست جنب مبل گلستان، هیوا مبل.

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Course: MMIR

Models of information retrieval. Nearest neighbors, range queries, hash algorithms. PLSA and topic models vector space models. Text categorization, analysis, tagging, parsing. Content based image and video retrieval. Image retrieval based on color, texture, and shape. Visual bag of words model. Grouping, static and motion segmentation, scene cuts. Geometric indexing, verification, and object recognition. Automatic annotation and categorization. HMM-based methods (audio, video, music, document retrieval).

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19/07/2008 at 12:16 PM. 27/02/2010 at 3:25 PM. Subscribe to my blog! Zaterdag 27 februari 2010, 14u48. Details OLYMPUS IMAGING CORP. FE4000,X920,X925, flash, ISO 200, F 2.6, 1/25 s. Don't forget that insults, racism, etc. are forbidden by Skyrock's 'General Terms of Use' and that you can be identified by your IP address (23.21.86.101) if someone makes a complaint. Please enter the sequence of characters in the field below. Posted on Saturday, 27 February 2010 at 3:24 PM. Don't forget that insults, racism...

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