Search Results for "matlab text classification"

...It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for feature extraction, classification, postprocessing). Acoustic feature extraction (multi-resolution cochleagram, MRCG). Provided real-world dataset with manual annotations.

OS X FOSS portable applications are packaged so you can carry around on any portable device, USB thumb drive, iPod, portable hard drive, memory card, other portable device (or also on your internal hard disk), taking your preferences with you.

ImageMagick and browser-based tools such as paperjs use very different engines for font rendering. This makes it difficult to reproduce accurately effects, for example, in video projects where the placement of text, sub-images, etc needs to be tested before production. While paperjs will render a scene in a browser context, it cannot be used in production, where ImageMagick is necessary. FSM allows for the classification of usable fonts for both these interfaces, accurate measurement of font dimensions such as descender, bearing, and extended bearing, and the means for translating between the differing font description systems used. ...

MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.