TY - JOUR
KW - Computer vision
KW - Image Recognition
KW - Mobile Device
KW - Graphical Model
KW - Neural Network
AU - William Raveane
AU - María Angélica González Arrieta
AB - We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger than the training data by effectively processing the full input scene through the neural network in less time. The final result is then inferred from the neural network output through energy minimization to reach a more precize localization than what traditional maximum value class comparisons yield. These results are apt for applying this process in a mobile device for real time image recognition.
IS - Regular Issue
M1 - 1
N2 - We introduce a hybrid system composed of a convolutional neural network and a discrete graphical model for image recognition. This system improves upon traditional sliding window techniques for analysis of an image larger than the training data by effectively processing the full input scene through the neural network in less time. The final result is then inferred from the neural network output through energy minimization to reach a more precize localization than what traditional maximum value class comparisons yield. These results are apt for applying this process in a mobile device for real time image recognition.
PY - 2014
SP - 28
EP - 35
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Neural Networks through Shared Maps in Mobile Devices
UR - http://www.ijimai.org/journal/sites/default/files/files/2014/11/ijimai20143_1_4_pdf_46255.pdf
VL - 3
SN - 1989-1660
ER -