PPT-Indic Text Segmentation

Indic Text Segmentation Presented by Swaran Lata Senior Director amp HoD TDIL Programme Department of Electronics and Information Technology DeitY Email  slatadeitygovin Diverse Multilinguality. Wen Hua, . Zhongyuan. Wang, . Haixun. Wang, Kai Zheng, and . Xiaofang. Zhou. ICDE 2015. 21 April 2015. Hyewon Lim. Introduction. Problem Statement. Methodology. Experiment. Conclusion. Outline. 2. David Kauchak. cs160. Fall . 2009. Administrative. Hw5/paper review. what . would be useful for the . authors. technical. , refers to not only the results, but the rest of the . paper. give . as many specific examples as . Approach for Topology-Change-Aware Video Matting. Jinlong Ju. 1. , Jue Wang. 3. , . Yebin. Liu. 1. , . Haoqian. Wang. 2. , . Qionghai. Dai. 1. Department of Automation, Tsinghua University, China. By: A’laa . Kryeem. Lecturer: . Hagit. Hel-Or. What is . Segmentation from . Examples. ?. Segment an image based on one (or more) correctly segmented image(s) assumed to be from the same . domain. Regular Expressions. Regular expressions. A formal language for specifying text strings. How can we search for any of these?. woodchuck. woodchucks. Woodchuck. Woodchucks. Regular . Expressions: Disjunctions. Vaibhav. . Mallya. EECS 767. Radev. Agenda. Definitions. Applications. Hearst’s . TextTiling. Probablistic. LSA. Unsupervised . Bayes. Discussion. Definitions. Topic Segmentation – Given a single piece of language data how can we effectively divide it into topical chunks?. Kirk Smith . October . 2015. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options. ?. Building a marketing strategy (STP). Some stuff I could buy. Dr. Ananda Hussein. Ford. ’. s Model T Followed a Mass Market Approach. Four levels of Micromarketing. Segments. Local areas. Individuals. Niches. What is a Market Segment?. A . market segment. consists of a group of customers who share a similar set of needs ad wants. . David Kauchak. cs458. Fall 2012. Administrative. Schedule. Readings. Lunch today!. HW4 due tomorrow. Attendance. Today’s class. Blend of introductory material and research talk. Problem of topic segmentation. Kirk Smith . Fall . 2017. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options?. Building a marketing strategy (STP). Some stuff I could buy. Article written by Laurence . Likeformann-Sulem. , . Abderrazak. . Zahour. , Bruno . Taconet. (2006). Presenting: . Erez. . Lefel. and . Koby. Israel. 1. Introduction. Text line extraction is generally seen as preprocessing step for tasks such as . Friedrich . Müller. , Reiner . Creutzburg. Abstract:. OCT (Optical coherence tomography) has become a popular method for macular degeneration diagnosis. The advantages over other methods are: OCT is . Juan Carlos . Niebles. and Ranjay Krishna. Stanford Vision and Learning Lab. What we will learn today. Introduction to segmentation and clustering. Gestalt theory for perceptual grouping. Agglomerative clustering. 17+mn differently abled Indians with no learning disability. For. Education content is. Inaccessible. literacy (%). Employment is . Low. share of jobs (%). 7+mn are . Young. 5yr < age < 29yr (%).