A DEEP CONVOLUTIONAL NEURAL NETWORK APPROACH FOR COMPLEXITY. REDUCTION ON INTRA-MODE HEVC. Tianyi Li. †. , Mai Xu. †∗ and Xin ...

Sep 28, 2016 - McGraw, 1999. [3] Joan Bruna, Wojciech Zaremba, Arthur ... Girshick, Sergio Guadarrama, and Trevor Darrell. Caffe: Convolutional architecture.

Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the .... However, because the input signal is noisy, a max pooling layer.

A Deep Convolutional Neural Network Based Classification of. Multi-Class Motor Imagery with Improved Generalization. Aupendu Kar. #1. , Sutanu Bera. #2.

DaTSCAN Image Database. Experiments. Comparison. Conclusions and ..... Data augmentation: Mirroring the images to account for bilateral differences.

Mar 10, 2017 - for this problem is to derive the “ground-truth” of fractional samples by smoothing ... fixed half-pel interpolation filter for luma in High Efficiency.

Abstract—In this paper, we present a convolutional neural network (CNN) approach for the face verification task. We propose a “Siamese” architecture of two ...

Running Title: Deep Learning for Knee MRI Segmentation. Page 2 of 34. 10 E. Doty St. ...... 3D Convolutional Neural Network for Brain Tumor. Segmentation. 27.

Sep 17, 2015 - it. Being able to detect the mood of the driver could help to detect the level of attention, so that ..... hand the eyes of the woman are wide open.

Apr 8, 2014 - {nal.kalchbrenner, edward.grefenstette, phil.blunsom}@cs.ox.ac.uk. Department of Computer ... tasks involv