Ads
related to: is matlab hard to learn youtube videofreelancer.com has been visited by 10K+ users in the past month
codefinity.com has been visited by 10K+ users in the past month
Search results
Results From The WOW.Com Content Network
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.
Large and diverse labeled video dataset YouTube video IDs and associated labels from a diverse vocabulary of 4800 visual entities 8 million Video, text Video classification 2016 [195] [196] S. Abu-El-Haija et al. YFCC100M Large and diverse labeled image and video dataset Flickr Videos and Images and associated description, titles, tags, and ...
Using funding from the U.S. Office of Special Education Programs, Smith-Kettlewell opened its Video Description Research and Development Center (VDRDC) in 2011, with Miele as its director. [11] From 2011 to 2015, Miele served as president of the board of the LightHouse for the Blind and Visually Impaired , a nonprofit organization based in San ...
Along with companies like Wistia and Brightcove, SproutVideo is commonly listed as an alternative for business video hosting , rather than larger services like YouTube and Vimeo, which often focus more on sharing video content widely rather than keeping videos private or restricted to a select group of people. SproutVideo.com
Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries. It offers tight integration with the rest of the MATLAB environment and can either drive MATLAB or be scripted ...
Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...