Extracting and organizing information from images structured problem solving tools

Date

2009-07-31

Author

Kresta, Suzanne
Ayrancı Tansık, İnci
Aubin, Joelle

Metadata

Show full item record

Item Usage Stats

46
views

0
downloads

URI

https://hdl.handle.net/11511/73691

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Extracting Sequential Patterns Based on User Defined Criteria Alkan, Oznur Kirmemis; Karagöz, Pınar (2013-09-13) Sequential pattern extraction is essential in many applications like bioinformatics and consumer behavior analysis. Various frequent sequential pattern mining algorithms have been developed that mine the set of frequent subsequences satisfying a minimum support constraint in a transaction database. In this paper, a hybrid framework to sequential pattern mining problem is proposed which combines clustering together with a novel pattern extraction algorithm that is based on an evaluation function, which utili...
Extracting the Boundaries of Clusters: A Post-Clustering Tool for Spatial Datasets İNKAYA, TÜLİN; Kayaligil, Sinan; Özdemirel, Nur Evin (World Scientific Pub Co Pte Lt, 2020-04-01) Boundary extraction is a fundamental post-clustering problem. It facilitates interpretability and usability of clustering results. Also, it provides visualization and dataset reduction. However, it has not attracted much attention compared to the clustering problem itself. In this work, we address the boundary extraction of clusters in 2- and 3-dimensional spatial datasets. We propose two algorithms based on Delaunay Triangulation (DT). Numerical experiments show that the proposed algorithms generate the cl...
Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis Demir, Seyfullah; Alkan, Öznur; Çekinel, Recep Fırat; Karagöz, Pınar (Springer, Cham, 2019-01-01) As a subproblem of sentiment analysis topic, aspect based sentiment analysis aims to extract distinct opinions for different aspects of a case in a given text. When the case is product review, it is possible to understand reviewer’s opinion on features of the product, rather than the product in general. Then, a product feature can be associated with a sentiment score denoting user satisfaction value by that feature. Modeling features mentioned in a review as items in a transaction may provide better insight...
Extracting location information from crowd-sourced social network data Karagöz, Pınar; Oğuztüzün, Mehmet Halit S.; Önal, Kezban Dilek; Sağcan, Meryem (Ubiquity Press, 2016-01-01)
EXTRACTING EMBEDDED DATA IN 3D MODELS FROM 2D VIEWS USING PERSPECTIVE INVARIANTS Yasaroglu, Yagiz; Alatan, Abdullah Aydın (2011-05-18) A 3D-2D watermarking method using perspective projective invariance is proposed. Data is embedded in relative positions of six points on a 3D mesh by translating one of them, and extracted from any 2D view generated as long as the points remain visible. To evaluate the performance of the perspective invariant, a watermarking system with a very simple interest point detection method is implemented. Simulations are made on six 3D meshes with different watermark strengths and view angles. Very promising result...

Citation Formats

S. Kresta, İ. Ayrancı Tansık, and J. Aubin, “Extracting and organizing information from images structured problem solving tools,” 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73691.