PPT-Segmentation from Examples

By Alaa Kryeem Lecturer Hagit HelOr What is Segmentation from Examples Segment an image based on one or more correctly segmented images assumed to be from the same domain. Katy Raines. PARTNER, INDIGO-LTD. Segmentation is saying something to somebody. instead of nothing to everybody. Jay Conrad Levinson, Guerilla Marketing. Segmentation – What is it?. Splitting . audiences . 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. Chiu, S. J., . Izatt. , J. A., O’Connell, R. V., Winter, K. P., . Toth. , C. A., & . Farsiu. , S. (2012). Validated . Automatic . S. egmentation . of AMD . Pathology . I. ncluding . D. rusen . and . 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. . via Subspace Clustering. Ruizhen. Hu . Lubin. Fan . Ligang. Liu. Co-segmentation. Hu et al.. Co-Segmentation of 3D Shapes via Subspace Clustering. 2. Input. Co-segmentation. Hu et al.. 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. Larry Mosiman. June 18, 2009. Analytics and the Customer Experience. Context – Communication and the customer experience. What it takes to be successful. Where can this approach be used?. Examples. Mostajabi. , . Yadollahpour. . and . Shakhnarovich. Toyota . Technological Institute at Chicago. Main Ideas. Casting semantic segmentation as classifying a set of . superpixels. .. Extracting CNN features from different levels of spatial context around the . Mostajabi. , . Yadollahpour. . and . Shakhnarovich. Toyota . Technological Institute at Chicago. Main Ideas. Casting semantic segmentation as classifying a set of . superpixels. .. Extracting CNN features from different levels of spatial context around the . Mahalanobis. distance. MASTERS THESIS. By: . Rahul. Suresh. COMMITTEE MEMBERS. Dr.Stan. . Birchfield. Dr.Adam. Hoover. Dr.Brian. Dean. Introduction. Related work. Background theory: . Image as a graph. 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 . a User’s Perspective. Stephen Plaza. ?. EM. c. onnectome graph. Presentation goals. Summarize the state of EM segmentation for . connectomics. Better define segmentation evaluation objectives. Propose potential solutions and work directions. 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.