Search for tag: "parameters"

26 Media

04:51 End-to-End Optimization of JPEG-Based Deep… End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification	End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification Sensing, Imaging and Signal Processing 13 Team Lead: Siyu Qi Advisor: Prof. Ding image classification jpeg parameters size images standard accuracy network end model 2-ohm method tasks server learning encoder curves curve axis From Femi-Jide Akinmoladun on May 11th, 2021 0 likes 5 plays 0
05:00 Audio Signal Processing Audio Signal Processing	Audio Signal Processing Senior Design Project: Audio4All: A Solution for Embedded Digital Music Creation Team Lead: Benjamin Moore Advisor: Prof. Knoesen processing signal audio effects controller instrument presentation sensor users keys bella latency parameters mode sequence chill force sounds input sensors From Femi-Jide Akinmoladun on May 7th, 2021 0 likes 17 plays 0
00:57 UFWH 2021 - Samantha Udarbe_Assessing the Impacts… UFWH 2021 - Samantha Udarbe_Assessing the Impacts of the COVID-19 Pandemic on Stress and Food Insecurity in College Students	UFWH 2021 - Samantha Udarbe_Assessing the Impacts of the COVID-19 Pandemic on Stress and Food Insecurity in College Students students stress food pandemic college approaches potential mind division age pre predictors foods covid-19 insecure behaviors impact study purpose parameters From Andrea Thompson on April 27th, 2021 0 likes 1 plays 0
50:36 Dr. Lora Iannotti: Institute for Global Nutrition… Dr. Lora Iannotti: Institute for Global Nutrition Seminar	Dr. Lora Iannotti: Institute for Global Nutrition Seminar Maternal nutrition and fetal brain development: a feasibility study of ultrasound imaging in Ecuador Dr. Lora Iannotti 4/7/2021 nutrition ecuador brain development brain study measures age bone diet ultrasound images growth outcomes foods parameters size consumption point effects christine child From Christine Stewart on April 7th, 2021 0 likes 8 plays 0
04:58 Kaltura Capture recording - April 1st 2021,… Kaltura Capture recording - April 1st 2021, 5:59:14 am	Kaltura Capture recording - April 1st 2021, 5:59:14 am shock consumption household effects parameters children disaster shot outcomes food allocation evidence programs control horizon factor discount problem question decisions From Syeda Warda Riaz on April 1st, 2021 0 likes 11 plays 0
08:18 PLS100BL Lab 5: Plant Growth Analysis Demo PLS100BL Lab 5: Plant Growth Analysis Demo	PLS100BL Lab 5: Plant Growth Analysis Demo A cool time lapse video of tomato plants growing under light and shade conditions in the greenhouse for 55 days. Followed by a demo explaining how the measurements of plant growth were made for these… plant growth timelapse tomato plants light shade greenhouse pga plant growth analysis experimental demo lab course plant sciences pls100bl bblanco jaadskaveg growth parameters From Barbara Blanco-Ulate on February 11th, 2021 1 likes 120 plays 0
12:19 Lab2_video_2 Lab2_video_2	Lab2_video_2 Data analysis pressure curve parameters function oscillating thing guesses analysis voltage calibration star parameter omega naught guess label start points things values From Jiandi Wan on January 18th, 2021 0 likes 206 plays 0
09:43 mat168-modeling11 mat168-modeling11	mat168-modeling11 optimization constraints problem money budget period projects function sum j. periods t. answer parameters cj goal dollars amount model profit moment From Jesus De Loera on January 6th, 2021 0 likes 52 plays 0
17:15 mat168-modeling10 mat168-modeling10	mat168-modeling10 optimization variables food variable sum amount parameters times things constraints function nutrition cost foods parameter manual grams nutrients distance statements functions From Jesus De Loera on January 6th, 2021 0 likes 62 plays 0
13:09 mat168-modeling9.mp4 mat168-modeling9.mp4	mat168-modeling9.mp4 cities edges equations problem function sum subset salesman question parameters constraints s. vertices solutions triangle highways bit cardinality cost constraint From Jesus De Loera on January 6th, 2021 0 likes 66 plays 0
19:13 Discussion-B-110620 Discussion-B-110620	Discussion-B-110620 hyperparameters hyperplane values distribution svm function regularization classes dimension linear parameters grid functions dimensions lot class gamma classifier combination god From Dhruvatara Bhogishetty on November 6th, 2020 0 likes 77 plays 0
01:13:21 MHI 289I, Fall 2020, Lecture #10 MHI 289I, Fall 2020, Lecture #10	MHI 289I, Fall 2020, Lecture #10 This is a recording of the tenth lecture, made by Zoom. word thing questions question things length homework tuple words parameters problem output couple lists break loop parameter error side function From Matt Bishop on November 4th, 2020 0 likes 16 plays 0
01:04:12 Patrick Flaherty: MAP Clustering under the… Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming	Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd kind problem things lot constraints science statistics problems courses optimization algorithm integer thing tripods department point cluster parameters model function From Naoki Saito on November 3rd, 2020 0 likes 8 plays 0
17:03 ESP 168a: Video 2.6 - Models and Modeling ESP 168a: Video 2.6 - Models and Modeling	ESP 168a: Video 2.6 - Models and Modeling Model Uncertainty model kind uncertainty models parameters parameter output lot temperature variables future error root ensemble thing criteria evaluation bar guys values From Frances Moore on September 3rd, 2020 0 likes 101 plays 0
10:54 ESP 168a: Video 2.5 - Models and Modeling 5 ESP 168a: Video 2.5 - Models and Modeling 5	ESP 168a: Video 2.5 - Models and Modeling 5 Testing a Model model kind training process testing error parameter country root values countries poverty imagery rate validation cross lot output star parameters From Frances Moore on September 3rd, 2020 0 likes 110 plays 0
13:38 ESP 168a: Video 2.4 - Models and Modeling 4 ESP 168a: Video 2.4 - Models and Modeling 4	ESP 168a: Video 2.4 - Models and Modeling 4 Parameterizing and Training model error root parameters difference kind output function models variables graph combination step observations regression point temperature variable input equations From Frances Moore on September 3rd, 2020 0 likes 136 plays 0