• Image search with LSH and shape context 

    Tang, Yan (Electrical engineering researcher) (University of Missouri--Columbia, 2016)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Partial-duplicate image search is a problem of searching the query image cropped from the same original image from a large database. Kd-tree have a ...
  • Performance analysis of mix-kernel convolutional neural network 

    Huang, Yibin (University of Missouri--Columbia, 2016)
    Deep convolutional neural networks (DCNN) have achieved the state-of-the-art performance in a number of computer vision tasks in recent years, including object detection, classification and recognition. The DCNN is very ...
  • Stock market forecasting using recurrent neural network 

    Gao, Qiyuan (University of Missouri--Columbia, 2016)
    In this research, we study the problem of stock market forecasting using Recurrent Neural Network(RNN) with Long Short-Term Memory (LSTM). The purpose of this research is to examine the feasibility and performance of LSTM ...