際際滷shows by User: ssuserafc864 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ssuserafc864 / Wed, 18 Jan 2023 04:59:49 GMT 際際滷Share feed for 際際滷shows by User: ssuserafc864 Forward-Forward Algorithm /slideshow/forwardforward-algorithm/255384597 forward-forwardalgorithm-230118045949-444c5dc6
Forward Forward by Hinton]]>
Forward Forward by Hinton]]> Wed, 18 Jan 2023 04:59:49 GMT /slideshow/forwardforward-algorithm/255384597 ssuserafc864@slideshare.net(ssuserafc864) Forward-Forward Algorithm ssuserafc864 Forward Forward by Hinton <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/forward-forwardalgorithm-230118045949-444c5dc6-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Forward Forward by Hinton
Forward-Forward Algorithm from Dong Heon Cho
]]> 692 0 https://cdn.slidesharecdn.com/ss_thumbnails/forward-forwardalgorithm-230118045949-444c5dc6-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 What is Texture.pdf /slideshow/what-is-texturepdf/255333146 whatistexture-230116014829-456d5c27
About the Texture in the image]]>
About the Texture in the image]]> Mon, 16 Jan 2023 01:48:29 GMT /slideshow/what-is-texturepdf/255333146 ssuserafc864@slideshare.net(ssuserafc864) What is Texture.pdf ssuserafc864 About the Texture in the image <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whatistexture-230116014829-456d5c27-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> About the Texture in the image
What is Texture.pdf from Dong Heon Cho
]]> 37 0 https://cdn.slidesharecdn.com/ss_thumbnails/whatistexture-230116014829-456d5c27-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 BADGE /slideshow/badge-253904858/253904858 badge-221031103501-80c9509f
Diversity based Active Learning]]>
Diversity based Active Learning]]> Mon, 31 Oct 2022 10:35:01 GMT /slideshow/badge-253904858/253904858 ssuserafc864@slideshare.net(ssuserafc864) BADGE ssuserafc864 Diversity based Active Learning <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/badge-221031103501-80c9509f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Diversity based Active Learning
BADGE from Dong Heon Cho
]]> 24 0 https://cdn.slidesharecdn.com/ss_thumbnails/badge-221031103501-80c9509f-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Neural Radiance Field /slideshow/neural-radiance-field/253511770 neuralradiancefield1-221012054554-0e4cb558
About Neural Radiance Field & Related publications. ]]>
About Neural Radiance Field & Related publications. ]]> Wed, 12 Oct 2022 05:45:54 GMT /slideshow/neural-radiance-field/253511770 ssuserafc864@slideshare.net(ssuserafc864) Neural Radiance Field ssuserafc864 About Neural Radiance Field & Related publications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/neuralradiancefield1-221012054554-0e4cb558-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> About Neural Radiance Field &amp; Related publications.
Neural Radiance Field from Dong Heon Cho
]]> 514 0 https://cdn.slidesharecdn.com/ss_thumbnails/neuralradiancefield1-221012054554-0e4cb558-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2020 > Self supervised learning /slideshow/2020-self-supervised-learning/249606957 selfsupervisedlearning-210705141234
Self Supervised Learning after 2020 SimCLR, MOCO, BYOL and etc Start from SimCLR]]>
Self Supervised Learning after 2020 SimCLR, MOCO, BYOL and etc Start from SimCLR]]> Mon, 05 Jul 2021 14:12:34 GMT /slideshow/2020-self-supervised-learning/249606957 ssuserafc864@slideshare.net(ssuserafc864) 2020 > Self supervised learning ssuserafc864 Self Supervised Learning after 2020 SimCLR, MOCO, BYOL and etc Start from SimCLR <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/selfsupervisedlearning-210705141234-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Self Supervised Learning after 2020 SimCLR, MOCO, BYOL and etc Start from SimCLR
2020 > Self supervised learning from Dong Heon Cho
]]> 243 0 https://cdn.slidesharecdn.com/ss_thumbnails/selfsupervisedlearning-210705141234-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 All about that pooling /slideshow/all-about-that-pooling/198728633 allaboutthatpooling-191128061209
General Review of Deep Learning's Pooling algorithm from Avg/Max Pooling 1990s to Trainable Pooling 2010s ]]>
General Review of Deep Learning's Pooling algorithm from Avg/Max Pooling 1990s to Trainable Pooling 2010s ]]> Thu, 28 Nov 2019 06:12:09 GMT /slideshow/all-about-that-pooling/198728633 ssuserafc864@slideshare.net(ssuserafc864) All about that pooling ssuserafc864 General Review of Deep Learning's Pooling algorithm from Avg/Max Pooling 1990s to Trainable Pooling 2010s <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/allaboutthatpooling-191128061209-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> General Review of Deep Learning&#39;s Pooling algorithm from Avg/Max Pooling 1990s to Trainable Pooling 2010s
All about that pooling from Dong Heon Cho
]]> 938 1 https://cdn.slidesharecdn.com/ss_thumbnails/allaboutthatpooling-191128061209-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Background elimination review /slideshow/background-elimination-review/136338035 backgroundeliminationreview-190314094903
review papers and applications for background removal segmentation, matting, and refinement]]>
review papers and applications for background removal segmentation, matting, and refinement]]> Thu, 14 Mar 2019 09:49:03 GMT /slideshow/background-elimination-review/136338035 ssuserafc864@slideshare.net(ssuserafc864) Background elimination review ssuserafc864 review papers and applications for background removal segmentation, matting, and refinement <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/backgroundeliminationreview-190314094903-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> review papers and applications for background removal segmentation, matting, and refinement
Background elimination review from Dong Heon Cho
]]> 297 1 https://cdn.slidesharecdn.com/ss_thumbnails/backgroundeliminationreview-190314094903-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Transparent Latent GAN /slideshow/transparent-latent-gan/136337704 tlgan-190314094707
reviewing Transparent Latent GAN "https://github.com/SummitKwan/transparent_latent_gan" ]]>
reviewing Transparent Latent GAN "https://github.com/SummitKwan/transparent_latent_gan" ]]> Thu, 14 Mar 2019 09:47:07 GMT /slideshow/transparent-latent-gan/136337704 ssuserafc864@slideshare.net(ssuserafc864) Transparent Latent GAN ssuserafc864 reviewing Transparent Latent GAN "https://github.com/SummitKwan/transparent_latent_gan" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tlgan-190314094707-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> reviewing Transparent Latent GAN &quot;https://github.com/SummitKwan/transparent_latent_gan&quot;
Transparent Latent GAN from Dong Heon Cho
]]> 794 4 https://cdn.slidesharecdn.com/ss_thumbnails/tlgan-190314094707-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Image matting atoc /slideshow/image-matting-atoc/136337393 imagemattingatocr-190314094527
Image Matting algorithms from Bayesian to Deep Learning]]>
Image Matting algorithms from Bayesian to Deep Learning]]> Thu, 14 Mar 2019 09:45:27 GMT /slideshow/image-matting-atoc/136337393 ssuserafc864@slideshare.net(ssuserafc864) Image matting atoc ssuserafc864 Image Matting algorithms from Bayesian to Deep Learning <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imagemattingatocr-190314094527-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Image Matting algorithms from Bayesian to Deep Learning
Image matting atoc from Dong Heon Cho
]]> 148 1 https://cdn.slidesharecdn.com/ss_thumbnails/imagemattingatocr-190314094527-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multi object Deep reinforcement learning /slideshow/multi-object-deep-reinforcement-learning/98398571 multiobjectdrl-180524053658
Multi-obj with deep rl - it uses multi objective MDP with OLS ]]>
Multi-obj with deep rl - it uses multi objective MDP with OLS ]]> Thu, 24 May 2018 05:36:58 GMT /slideshow/multi-object-deep-reinforcement-learning/98398571 ssuserafc864@slideshare.net(ssuserafc864) Multi object Deep reinforcement learning ssuserafc864 Multi-obj with deep rl - it uses multi objective MDP with OLS <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multiobjectdrl-180524053658-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Multi-obj with deep rl - it uses multi objective MDP with OLS
Multi object Deep reinforcement learning from Dong Heon Cho
]]> 387 2 https://cdn.slidesharecdn.com/ss_thumbnails/multiobjectdrl-180524053658-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multi agent reinforcement learning for sequential social dilemmas /slideshow/multi-agent-reinforcement-learning-for-sequential-social-dilemmas/98398410 marlssd-180524053545
Multi agent RL for SSD ( by Deep Mind ) ]]>
Multi agent RL for SSD ( by Deep Mind ) ]]> Thu, 24 May 2018 05:35:45 GMT /slideshow/multi-agent-reinforcement-learning-for-sequential-social-dilemmas/98398410 ssuserafc864@slideshare.net(ssuserafc864) Multi agent reinforcement learning for sequential social dilemmas ssuserafc864 Multi agent RL for SSD ( by Deep Mind ) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/marlssd-180524053545-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Multi agent RL for SSD ( by Deep Mind )
Multi agent reinforcement learning for sequential social dilemmas from Dong Heon Cho
]]> 462 4 https://cdn.slidesharecdn.com/ss_thumbnails/marlssd-180524053545-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multi agent System /slideshow/multi-agent-system/98398215 maass-180524053410
- What is Multi agent - Multi agent examples - Multi agent sequential social dillema - Multi agent manufacturing]]>
- What is Multi agent - Multi agent examples - Multi agent sequential social dillema - Multi agent manufacturing]]> Thu, 24 May 2018 05:34:10 GMT /slideshow/multi-agent-system/98398215 ssuserafc864@slideshare.net(ssuserafc864) Multi agent System ssuserafc864 - What is Multi agent - Multi agent examples - Multi agent sequential social dillema - Multi agent manufacturing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maass-180524053410-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> - What is Multi agent - Multi agent examples - Multi agent sequential social dillema - Multi agent manufacturing
Multi agent System from Dong Heon Cho
]]> 303 2 https://cdn.slidesharecdn.com/ss_thumbnails/maass-180524053410-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Hybrid reward architecture /slideshow/hybrid-reward-architecture/98397922 hybridrewardarchitecture-180524053153
[dl/ml study] about Hybrid reward architecture. It's kind of multi agent...]]>
[dl/ml study] about Hybrid reward architecture. It's kind of multi agent...]]> Thu, 24 May 2018 05:31:53 GMT /slideshow/hybrid-reward-architecture/98397922 ssuserafc864@slideshare.net(ssuserafc864) Hybrid reward architecture ssuserafc864 [dl/ml study] about Hybrid reward architecture. It's kind of multi agent... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hybridrewardarchitecture-180524053153-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> [dl/ml study] about Hybrid reward architecture. It&#39;s kind of multi agent...
Hybrid reward architecture from Dong Heon Cho
]]> 192 2 https://cdn.slidesharecdn.com/ss_thumbnails/hybridrewardarchitecture-180524053153-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Use Jupyter notebook guide in 5 minutes /slideshow/use-jupyter-notebook-guide-in-5-minutes/87368804 jupyter5-180207090618
Tutorial of Jupyter notebook in a fast way. Introduce what is notebook and simple shortcuts - command mode, edit mode]]>
Tutorial of Jupyter notebook in a fast way. Introduce what is notebook and simple shortcuts - command mode, edit mode]]> Wed, 07 Feb 2018 09:06:18 GMT /slideshow/use-jupyter-notebook-guide-in-5-minutes/87368804 ssuserafc864@slideshare.net(ssuserafc864) Use Jupyter notebook guide in 5 minutes ssuserafc864 Tutorial of Jupyter notebook in a fast way. Introduce what is notebook and simple shortcuts - command mode, edit mode <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jupyter5-180207090618-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tutorial of Jupyter notebook in a fast way. Introduce what is notebook and simple shortcuts - command mode, edit mode
Use Jupyter notebook guide in 5 minutes from Dong Heon Cho
]]> 193 3 https://cdn.slidesharecdn.com/ss_thumbnails/jupyter5-180207090618-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 AlexNet and so on... /slideshow/alexnet-and-so-on/87228348 alexnet-180205033157
AlexNet 2012 Contributions and Structure with Simple keras Code. Multi GPU, Pooling, Data Augmentation...]]>
AlexNet 2012 Contributions and Structure with Simple keras Code. Multi GPU, Pooling, Data Augmentation...]]> Mon, 05 Feb 2018 03:31:57 GMT /slideshow/alexnet-and-so-on/87228348 ssuserafc864@slideshare.net(ssuserafc864) AlexNet and so on... ssuserafc864 AlexNet 2012 Contributions and Structure with Simple keras Code. Multi GPU, Pooling, Data Augmentation... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/alexnet-180205033157-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> AlexNet 2012 Contributions and Structure with Simple keras Code. Multi GPU, Pooling, Data Augmentation...
AlexNet and so on... from Dong Heon Cho
]]> 418 1 https://cdn.slidesharecdn.com/ss_thumbnails/alexnet-180205033157-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Deep Learning AtoC with Image Perspective /slideshow/deep-learning-atoc-with-image-perspective/86505255 dlstudynv-180122075128
Deep Learning Introduction with Image Processing Perspective. Why, What, When Deep Learning?]]>
Deep Learning Introduction with Image Processing Perspective. Why, What, When Deep Learning?]]> Mon, 22 Jan 2018 07:51:28 GMT /slideshow/deep-learning-atoc-with-image-perspective/86505255 ssuserafc864@slideshare.net(ssuserafc864) Deep Learning AtoC with Image Perspective ssuserafc864 Deep Learning Introduction with Image Processing Perspective. Why, What, When Deep Learning? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dlstudynv-180122075128-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning Introduction with Image Processing Perspective. Why, What, When Deep Learning?
Deep Learning AtoC with Image Perspective from Dong Heon Cho
]]> 882 3 https://cdn.slidesharecdn.com/ss_thumbnails/dlstudynv-180122075128-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 LOL win prediction /slideshow/lol-win-prediction/86146794 random-180115015100
League of legend win prediction on master 1 tier. A pipeline of data analytics and how to improve results.]]>
League of legend win prediction on master 1 tier. A pipeline of data analytics and how to improve results.]]> Mon, 15 Jan 2018 01:51:00 GMT /slideshow/lol-win-prediction/86146794 ssuserafc864@slideshare.net(ssuserafc864) LOL win prediction ssuserafc864 League of legend win prediction on master 1 tier. A pipeline of data analytics and how to improve results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/random-180115015100-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> League of legend win prediction on master 1 tier. A pipeline of data analytics and how to improve results.
LOL win prediction from Dong Heon Cho
]]> 152 5 https://cdn.slidesharecdn.com/ss_thumbnails/random-180115015100-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 How can we train with few data /slideshow/how-can-we-train-with-few-data/86146384 howcanwetrainwithfewdata-180115013109
Train few data with Model Perspective + some skills for kaggle]]>
Train few data with Model Perspective + some skills for kaggle]]> Mon, 15 Jan 2018 01:31:08 GMT /slideshow/how-can-we-train-with-few-data/86146384 ssuserafc864@slideshare.net(ssuserafc864) How can we train with few data ssuserafc864 Train few data with Model Perspective + some skills for kaggle <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howcanwetrainwithfewdata-180115013109-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Train few data with Model Perspective + some skills for kaggle
How can we train with few data from Dong Heon Cho
]]> 161 3 https://cdn.slidesharecdn.com/ss_thumbnails/howcanwetrainwithfewdata-180115013109-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Domain adaptation gan /slideshow/domain-adaptation-gan/83990831 domainadaptationgan-171213084411
Domain adaptation gan & transfer learning]]>
Domain adaptation gan & transfer learning]]> Wed, 13 Dec 2017 08:44:11 GMT /slideshow/domain-adaptation-gan/83990831 ssuserafc864@slideshare.net(ssuserafc864) Domain adaptation gan ssuserafc864 Domain adaptation gan & transfer learning <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/domainadaptationgan-171213084411-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Domain adaptation gan &amp; transfer learning
Domain adaptation gan from Dong Heon Cho
]]> 426 3 https://cdn.slidesharecdn.com/ss_thumbnails/domainadaptationgan-171213084411-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Dense sparse-dense training for dnn and Other Models /slideshow/dense-sparsedense-training-for-dnn-and-other-models/81219281 dense-sparse-densetrainingfordnn-171026023455
Deep Learning Training methods & Squeezing methods]]>
Deep Learning Training methods & Squeezing methods]]> Thu, 26 Oct 2017 02:34:55 GMT /slideshow/dense-sparsedense-training-for-dnn-and-other-models/81219281 ssuserafc864@slideshare.net(ssuserafc864) Dense sparse-dense training for dnn and Other Models ssuserafc864 Deep Learning Training methods & Squeezing methods <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dense-sparse-densetrainingfordnn-171026023455-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning Training methods &amp; Squeezing methods
Dense sparse-dense training for dnn and Other Models from Dong Heon Cho
]]> 354 4 https://cdn.slidesharecdn.com/ss_thumbnails/dense-sparse-densetrainingfordnn-171026023455-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ssuserafc864-48x48.jpg?cb=1732678362 Idea, Invent, Intelligence, Impassioned For Better World davinnovation.github.io https://cdn.slidesharecdn.com/ss_thumbnails/forward-forwardalgorithm-230118045949-444c5dc6-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/forwardforward-algorithm/255384597 Forward-Forward Algorithm https://cdn.slidesharecdn.com/ss_thumbnails/whatistexture-230116014829-456d5c27-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/what-is-texturepdf/255333146 What is Texture.pdf https://cdn.slidesharecdn.com/ss_thumbnails/badge-221031103501-80c9509f-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/badge-253904858/253904858 BADGE