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Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...

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Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...
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junxiong's blog | junxiongblog.wordpress.com Reviews

https://junxiongblog.wordpress.com

Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...

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junxiongblog.wordpress.com junxiongblog.wordpress.com
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chuangzhetianxia – junxiong's blog

https://junxiongblog.wordpress.com/author/chuangzhetianxia

Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...

2

February 2016 – junxiong's blog

https://junxiongblog.wordpress.com/2016/02

Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...

3

Study in first semester – junxiong's blog

https://junxiongblog.wordpress.com/2016/02/21/study-in-first-semester

Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Fill in your details ...

4

About Me – junxiong's blog

https://junxiongblog.wordpress.com/about

I am Junxiong Wang, a graduate student at the Department of Computer Science and Communication System of Swiss Federal Institute of Technology in Lausanne. Now I take my semester project in Data Intensive Application and Systems Laboratory. Supervised by Ailamaki Anastasia. Formally, I obtained my bachelor degree from Harbin Institute of Technology.I am especially interested in Big Data and Modern Database System. I am current working on Benchmarking a just-in-time query engine. Leave a Reply Cancel reply.

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Digital Humanities | DH101

https://dh101.ch/tag/digital-humanities

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Story extraction: How today’s Digital Humanities tackling it? October 21, 2015. One of the current trends (and possibly the ultimate goals) of the science of “Digital Humanities” is identifying the “story” from readily available sources and …. Continue reading →. The Challenge to Understand, Visualize and Interpret Big Data Sets.

dh101.ch dh101.ch

Garzoni font | DH101

https://dh101.ch/tag/garzoni-font

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. The concept of place in fictional literature: applications for uncovering the nuanced elements of heritage. The text-image linking trends for historical documents analysis. Story extraction: How today’s Digital Humanities tackling it? The Challenge to Understand, Visualize and Interpret Big Data Sets. Follow Blog via Email.

dh101.ch dh101.ch

machine learning | DH101

https://dh101.ch/tag/machine-learning

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Images, Digital Humanities and Challenges. October 22, 2014. Images in Digital Humanities are of paramount importance. Images form a large portion of digital archives whether they be scanned …. Continue reading →. Importance of image data and image processing techniques for Digital Humanities. October 21, 2014. October 16, 2013.

dh101.ch dh101.ch

course | DH101

https://dh101.ch/category/course

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Image processing techniques, indispensable tools for the analyze of digitized archives. October 19, 2014. After digitizing the historical and cultural documents gathered all over the world, one has to analyze and identify them in …. Continue reading →. Videos : the archives of tomorrow. October 19, 2014. Continue reading →.

dh101.ch dh101.ch

dh101 | DH101

https://dh101.ch/tag/dh101

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. The concept of place in fictional literature: applications for uncovering the nuanced elements of heritage. The text-image linking trends for historical documents analysis. Story extraction: How today’s Digital Humanities tackling it? The Challenge to Understand, Visualize and Interpret Big Data Sets. Follow Blog via Email.

dh101.ch dh101.ch

Digital Humanities spreading in universities | DH101

https://dh101.ch/2014/10/22/digital-humanities-spreading-in-universities

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Digital Humanities spreading in universities. Asymp; Leave a comment. A more research oriented curriculum is given at the Hamilton’s College’s Digital Humanities Initiative (DHi). It has been offering a research and fellowship program since 2011, the Culture, Liberal Arts, and Society Scholars (. One of the many projects done so...

dh101.ch dh101.ch

Courses | DH101

https://dh101.ch/courses

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Objectives of this year’s course. Learning about some of the concepts and processes (Massive digitization, Transcription, etc.). Discovering some (soft and hard) skills (Historical data modeling, 3d modeling, etc.). Understanding how everything fits together (in the Venice Time Machine project). Leave a Reply Cancel reply. The t...

dh101.ch dh101.ch

MGrin | DH101

https://dh101.ch/author/mr6r1n

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Trend] From humans to machines – trending ideas in developing new DH tools. October 19, 2014. These days Machine Learning and BigData techniques are well spreaded in DH purposes: emotional analysis of texts, topic modeling, etc. In …. Continue reading →. The text-image linking trends for historical documents analysis. La Venice ...

dh101.ch dh101.ch

Representing history in three dimensions: potentials and issues | DH101

https://dh101.ch/2014/10/22/representing-history-in-three-dimensions-potentials-and-issues

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Representing history in three dimensions: potentials and issues. Asymp; Leave a comment. However, 3D modeling is a relatively new and emerging field. Consequently, many progresses have to be made, and many issues need to be resolved. One first problem to overcome concerns lack of information. A second problem is about methodology.

dh101.ch dh101.ch

Connecting Digital Humanities Data With The Scholarly 3D Toolkit | DH101

https://dh101.ch/2014/10/22/connecting-digital-humanities-data-with-the-scholarly-3d-toolkit

EPFL introductory course on Digital Humanites. Material on this website is posted by Frédéric Kaplan and students of the course. You can also follow the course on Twitter #DH101. Connecting Digital Humanities Data With The Scholarly 3D Toolkit. Asymp; 1 Comment. Virtual heritage; 3D Visualisation; Procedural Modelling; Digital preservation; Digital Humanities Data. But as a powerful tool for scholars to combine 3D data with further documentation, sources and metadata. Which stands as milestone to underst...

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Study in first semester. February 21, 2016. November 13, 2016. I will make a conclusion about what I learn. Analytical method in complexity and algorithm. Complexity and gradient decent. Graphs, Eigenvalues and Laplacians. Electrical and combination flow. Complexity of Conjugated Gradient method. Expectation Maximization and Entropy(KL Divergence). Sparse Coding and Dictionary Learning. Neural Network and Back propagation. Scribing lecture notes by my team: Lect2 Scribing Finalized. Add: Room N 372, Quar...

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Live with Passion !

A purpose to live for? Thursday, January 11, 2007. Been a realy long while since i last blog. Ok its my final sem now, a last lap to complete the modules plus my Final Year Project. taking a module called surgical assist technology which is really interesting so far! For my FYP, my supervisor is really a kind man. I salute him for that. Been slacking on the running for sometime, ought to do something about it. Posted by junxiong @ 9:59 PM 0 comments. Thursday, November 30, 2006. Say No to Buns. One Thank...

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