In the last 3 years, we have collected a dataset of 25000 isolated sign videos belonging to ~650 different Turkish Sign Language gestures. These signs contain repetitions of the same sign from many different users. However, due to the scope of the data, it is hard to detect mistaken samples or classes from these videos one by one. Therefore in this project, we will implement an outlier detection application, that will analyze different characteristics of these videos to find mislabeled videos and correctly label them.
In this project , we built an image parody detection system.
The main goal of the project is to create a framework that will combine several approaches and build a set of classifier models that can detect a certain degree of similarity of the input image in terms of the general composition.
Nanonetworking is a new communication paradigm in computer networks, which gained interest in last decade. Nanonetworks differ from traditional computer networks in terms of communication characteristics. Therefore, new approaches are presented which needs testing and simulation. Current simulators are of course capable of simulating molecular world but they are not in the context of nanonetworking. Hence in this area, a need for a simulation toolbox has arisen.
ISPs today offer 100 Mbps to modems, but people never seem to get that through their WiFi. About half of the 10-20% ISP churn is due to performance dissatisfaction, and the leading cause of that is poor WiFi. This costs an ISP like Comcast a billion dollars each year. They desperately need to own home WiFi the way they do the rest of their network, yet all the new technology being built is for “faster” WiFi, not “controlled” WiFi. Today numerous devices connect to internet via wifi. Most of the consumer products do not even have ethernet jack.
In autonomous smart car project, the aim is to creating a smart car using IoT(Internet of Things) technologies, sensors, and making data analysis so that a car will have capabilities of remotely being able to controlled, taking the control from the driver in critical and emergency cases, driving itself aoutonomously using velocity change,and route change mechanisms. The car, namely Smart Kar, is based on Embedded Systems using IoT concepts, a base board as computation and control unit, sensors, and data analysis.
By 3D reconstruction of medical object technique, we can use computer graphics, image processing, computer vision and human-computer interaction techniques to reconstruct 3D stereoscopic image from the given 2D medical images (such as MRI, CT, etc.), and covert it to 2D or 3D images.
In the last decade, spectral clustering has become a very active area of research in the machine learning community, with many extensions and applications of the algorithm being developed. One of the more popular applications of spectral clustering algorithms is image segmentation. Image segmentation plays a fundamental role in computer vision as a requisite step in such tasks as object detection or tracking.
