PPT-Scalable Multi-Label Annotation

Jia Deng Olga Russakovsky Jonathan Krause Michael Bernstein Alexander Berg Li FeiFei Table Chair Horse Dog Cat Bird Task Crowdsource. posteriori. inference with Markov random field priors. Simon Prince. s.prince@cs.ucl.ac.uk. Plan of Talk. Denoising. problem. Markov random fields (MRFs). Max-flow / min-cut. Binary MRFs (exact solution). Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). Crowdsourced. Active Learning. Honglei. . Zhuang. (. 庄弘磊. ). LinkedIn Intern & UIUC PhD Student. Joel Young. Engineering Manager. 3. Motivation. Crowdsourcing is often adopted as a cheap way to collect labeled data for training a classifier. By . Zhangliliang. Characteristics. No . bbox. . groundtruth. needed while training. HCP infrastructure is robust to noisy. No explicit hypothesis label (reason: use CNN). Pre-train CNN from . ImageNet. With: Radhika Niranjan Mysore, Malveeka Tewari, Ying Zhang (Ericsson Research), . Keith Marzullo, Amin Vahdat. Meg Walraed-. Sullivan. University . of California, San . Diego. Group of entities that want to communicate. PAC Learning SVM . Kernels+Boost. Decision Trees. 1. Midterms. 2. Will be available at the TA sessions this week. Projects feedback . has been sent. . Yunchao. Wei, Wei Xia, . Junshi. Huang, . Bingbing. Ni, Jian Dong, Yao Zhao, Senior Member, IEEE . Shuicheng. Yan, Senior Member, IEEE. 2014. . arXiv. IEEE. . Short Papers. . HCPIssue. Date: Sept. 1 2016. Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. Instrument Chemistries for each step in the decontamination process. Pre-cleaning. Manual cleaning. Automated cleaning. © 2010 Case Medical, Inc.. Case Solutions. CSR Ink and adhesive remover. SchmutzOff stainless steel, acid based re-conditioner and . Xueying. Bai, . Jiankun. Xu. Multi-label Image Classification. Co-occurrence dependency. Higher-order correlation: one label can be predicted using the previous label. Semantic redundancy: labels have overlapping meanings (cat and kitten). Kernels Boost. Decision Trees. 1. Midterms. 2. Will be available at the TA sessions this week. Projects feedback . has been sent. . Recall that this is 25% of your grade!. Grades are on a curve. Tool. (. TART). Outline. Pragmatics & Corpora. Speech/Dialogue-Act Annotation. The DART Approach. From DART to . TART. Observations & Issues. Intended Features. Potential Applications. Pragmatics & Corpora. Examples and graphics for overlaying . visual annotations onto a chart. Introduction. It’s important to choose the best type of chart for communicating insights. Many beautiful and engaging ways to plot charts are available today. Huge databases with stunning visual intelligence can display data that whooshes across screens, unveiling clickable layers of data beneath it. As data sets grow ever more vast, charts are getting more complex and sexy..