Other

Samsung Electronics Co., Ltd.

Seoul National University

Il Chae Jung

Changwook Jeong

Sung Sun Park

Ju Hyeon Lee

Moon Hyun Cha

Vladimir Vlaskin

Bo Hyung Han

Daeyoung Park

In Shik Park

Sang Gook Park

An object tracking learning system includes a first neural network module that expresses and learns a first parameter for an input image from a first type to a second type and outputs the learned result as a first learning result, a second neural network module that removes and learns a connection of a part of a second parameter for the input image and outputs the learned result as a second learning result, a prediction module that generates a prediction value for an object of the input image from a summation result obtained by summing the first learning result and the second learning result, and an optimization module that updates the first parameter and the second parameter based on the prediction value.

Learning method and system for object tracking based on hybrid neural network

The invention relates to an easily fabricated and highly luminous electroluminescence (EL) device, whose front transparent electrode is made by using transparent conductive powder and transparent conductive binder, and a method for making such an EL device. The method comprises the steps of: providing a substrate; forming a metal electrode layer on the substrate, wherein the metal electrode layer reflects light incident thereto; forming a dielectric layer comprising a mixture of dielectric powder and a binder on the metal electrode layer; forming a phosphor layer including phosphor powder and a binder on the dielectric layer; and forming a transparent electrode layer including transparent conductive powder and a transparent conductive binder on the phosphor layer using a spin coating or a screen printing process employed for liquid material.

AC powder electroluminescence device and method for making the same

Growing community of inventors

Seoul, South Korea

Il Chae Jung