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Active Learning: Theory and Applications to Automatic Speech Recognition

Research paper #the-canvas { border: 1px solid black; direction: ltr; width: 100%; height: auto; } #paginator { text-align: center; margin-bottom: 10px; } Previous Next     Page: / window.onload = function () { var url = "https:\/\/bhavyagoel.github.io" + 'posts\/researchPDF\/rp-2.pdf'; var hidePaginator = ""; var pdfjsLib = window['pdfjs-dist/build/pdf']; pdfjsLib.GlobalWorkerOptions.workerSrc = "https:\/\/bhavyagoel.github.io" + '/js/pdf-js/build/pdf.worker.js'; var pdfDoc = null, pageNum = 1, pageRendering = false, pageNumPending = null, scale = 3, canvas = document.

July 14, 2021 Read
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Semi Supervised Joint Learning for Hand Gesture Recognition

Features This is for Static Gestures Hand Gesture and Hand Pose Recognition Semi-Supervised learning scheme used to solve the problem of lacking proper annotation 3-D Hand Pose with foreground hand, and hand gesture Unconstrained environment dataset – Hand Posture: Only classify in classes – Hand Posture: positions of finger joints, view point, rotation, scale and so on. Semi-Supervised Scheme Knowledge Transfer: Transfer annotation by extracting shared features from hand gesture to hand pose and vice versa.

July 14, 2021 Read
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Sample Markdown

This is a sample post intended to test the followings: Set custom hero image, and post author. Various Image tags and their functionalities including the short-code and partial codes intended. Enabling table of contents. Various forms of markdown content rendering, along with various tags and embedding features. Rendering of mathematical formulaes, and emojis. Nesting of posts according to the category, which includes sub-categories nesting and other features. Media rendering that includes images, tweets, YT Video, Vimeo Video and PDFs.

July 14, 2021 Read