نتایج جستجو برای: encoder

تعداد نتایج: 9917  

2017
Jun Suzuki Masaaki Nagata

This paper tackles the reduction of redundant repeating generation that is often observed in RNN-based encoder-decoder models. Our basic idea is to jointly estimate the upper-bound frequency of each target vocabulary in the encoder and control the output words based on the estimation in the decoder. Our method shows significant improvement over a strong RNN-based encoder-decoder baseline and ac...

Journal: :Journal of the Japan Society for Precision Engineering 1995

2010
S. Ramachandran

This paper proposes a novel VLSI architecture for Video Encoder, which processes high resolution video sequences at real time rates. The architecture has been realized using Verilog and implemented on an Xilinx XUPVP30 FPGA. The gate count of the implementation is approximately 800,000 including an output FIFO of size 128 K bits. It can process 1600x1200 pixels color motion pictures in 4:2:0 fo...

Journal: :Dynamic Games and Applications 2013
Maël Le Treust Samson Lasaulce

Abstract An important feature of a dynamic game is its monitoring structure namely, what the players effectively see from the played actions. We consider games with arbitrary monitoring structures. One of the purposes of this paper is to know to what extent an encoder, who perfectly observes the played actions and sends a complementary public signal to the players, can establish perfect monitor...

Journal: :CoRR 2018
Kazi Nazmul Haque Mohammad Abu Yousuf Rajib Rana

Image denoising is always a challenging task in the field of computer vision and image processing. In this paper we have proposed an encoder-decoder model with direct attention, which is capable of denoising and reconstruct highly corrupted images. Our model is consisted of an encoder and a decoder, where encoder is a convolutional neural network and decoder is a multilayer Long Short-Term memo...

Journal: :Journal of Machine Learning Research 2014
Guillaume Alain Yoshua Bengio

What do auto-encoders learn about the underlying data generating distribution? Recent work suggests that some auto-encoder variants do a good job of capturing the local manifold structure of data. This paper clarifies some of these previous observations by showing that minimizing a particular form of regularized reconstruction error yields a reconstruction function that locally characterizes th...

2016
A. Parkavi T. Kalpalatha Reddy

MP3 is the popular audio coding standard. But now, a new higher quality audio coding standard Advanced Audio Coding (AAC) is proposed and widely used. The quantization/re-quantization is essential in both MP3 and AAC. It proposes a new high accuracy estimation algorithm for MP3 and MEPG-4 AAC audio coding. The algorithm can be applied not only for re-quantization process in decoder, but also fo...

Journal: :SIAM J. Control and Optimization 2016
Maben Rabi Chithrupa Ramesh Karl Henrik Johansson

For a networked control system, we consider the problem of encoder and controller design. We study a discrete-time linear plant with a finite horizon performance cost, comprising of a quadratic function of the states and controls, and an additive communication cost. We study separation in design of the encoder and controller, along with related closed-loop properties such as the dual effect and...

Journal: :IEICE Transactions 2005
Kyeong-Yuk Min Jong-Wha Chong

In this paper, we propose a hardware architecture of realtime JPEG encoder for 1.4 mega pixels CMOS image sensor SoC which can be applied to mobile communication devices. The proposed architecture has an efficient interface scheme with CMOS image sensor and other peripherals for real-time encoding. The JPEG encoder supports the baseline JPEG mode, and processes motion images of which resolution...

Journal: :CoRR 2017
Dmitry Ulyanov Andrea Vedaldi Victor S. Lempitsky

We present a new autoencoder-type architecture that is trainable in an unsupervised mode, sustains both generation and inference, and has the quality of conditional and unconditional samples boosted by adversarial learning. Unlike previous hybrids of autoencoders and adversarial networks, the adversarial game in our approach is set up directly between the encoder and the generator, and no exter...

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