Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class

Yıldırım, Botan
Ulusoy, İlkay


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...
Smoothing of discrete markov signals and a microprocessor based estimator.
Eskicioğlu, Suat R; Department of Electrical Engineering (1983)
Analyzing Learner Affect in a Scenario-Based Intelligent Tutoring System
Nye, Benjamin; Karumbaiah, Shamya; Tokel, Saniye Tuğba; Core, Mark G.; Stratou, Giota; Auerbach, Daniel; Georgila, Kallirroi (2017-07-01)
Scenario-based tutoring systems influence affective states due to two distinct mechanisms during learning: (1) reactions to performance feedback and (2) responses to the scenario context or events. To explore the role of affect and engagement, a scenario-based ITS was instrumented to support unobtrusive facial affect detection. Results from a sample of university students showed relatively few traditional academic affective states such as confusion or frustration, even at decision points and after poor perf...
Analyzing Complex Problem Solving by Dynamic Brain Networks
Alchihabi, Abdullah; Ekmekci, Ömer; Kivilcim, Baran B.; Newman, Sharlene D.; Yarman Vural, Fatos T. (2021-12-01)
Complex problem solving is a high level cognitive task of the human brain, which has been studied over the last decade. Tower of London (TOL) is a game that has been widely used to study complex problem solving. In this paper, we aim to explore the underlying cognitive network structure among anatomical regions of complex problem solving and its subtasks, namely planning and execution. A new computational model for estimating a brain network at each time instant of fMRI recordings is proposed. The suggested...
Tracking non-ellipsoidal extended objects using sequential Monte- Carlo
Kara, Süleyman Fatih; Özkan, Emre; Department of Electrical and Electronics Engineering (2018)
The problem of extended target tracking is considered in which the target extent is represented with multiple ellipses. The resulting inference problem, which is considered in the sequential Monte Carlo (SMC) framework, includes association of the measurements between sub-objects. We make use of different particle filtering approaches to solve the aforementioned association problem under the assumption of known extent. When the extent is unknown, parameters of the multiple ellipses should also be estimated....
Citation Formats
B. Yıldırım and İ. Ulusoy, “Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class,” presented at the Sinyal İşleme ve Uygulamaları Kurultayı, 2022, Accessed: 00, 2022. [Online]. Available: