ENGINEERING RESEARCH PAPERS

deep learning IEEE PAPER 2018




Person re-identification by deep learning multi-scale representations
free download

ABSTRACT Existing person re-identification (re-id) methods depend mostly on single-scale appearance information. This not only ignores the potentially useful explicit information of other different scales, but also loses the chance of mining the implicit correlated

EE-559Deep learning 3a. Linear classifiers, perceptron
free download

This crude algorithm works often surprisingly well. With MNISTs0s as negative class, and 1s as positive one. epoch 0 nb_changes 64 train_error 0.23%% test_error 0.19%% epoch 1 nb_changes 24 train_error 0.07%% test_error 0.00%% epoch 2 nb_changes 10

EE-559Deep learning 5. Losses, optimization, initialization.
free download

Page 1. EE-559 Deeplearning 5. Losses, optimization, initialization. François Fleuret https://fleuret.org/dlc/ January 18, 2018 Draft, do not distributeCOLE POLYTECHNIQUE F D RALE DE LAUSANNE Page 2. Cross-entropy François Fleuret EE-559 Deeplearning

Classification of Diabetic Retinopathy Images by Using Deep Learning Models
free download

ABSTRACT Diabetes or more precisely Diabetes Mellitus (DM) is a metabolic disorder happens because of high blood sugar level in the body. Over the time, diabetes creates eye deficiency also called as Diabetic Retinopathy (DR) causes major loss of vision. The

Lower jawbone data generation for deep learning tools under MeVisLab
free download

Segmentation is an important branch in medical image processing and the basis for further detailed investigations on computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound (US) or nuclear images. Through segmentation, an image is divided into

WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest
free download

ABSTRACT Motivation: Precise assessment of ligand bioactivities (including IC50, EC50, Ki, Kd, etc.) is essential for virtual screening and lead compound identification. However, not all ligands have experimentally determined activities. In particular, many G protein-coupled

Relaxed deep learning for real-time economic generation dispatch and control with unified time scale
free download

ABSTRACT To solve the collaboration problem of multi-time scale economic dispatch and generation control in power system, ie, long term time scale optimization, short term time scale optimization, and real-time control, a real-time economic generation dispatch and

NMRNet: A deep learning approach to automated peak picking of protein NMR spectra
free download

ABSTRACT Motivation: Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing peak picking methods are still largely deficient. Accurate and precise automated peak picking would accelerate the

DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction
free download

ABSTRACT Motivation: Protein solubility plays a vital role in pharmaceutical research and production yield. For a given protein, the extent of its solubility can represent the quality of its function, and is ultimately defined by its sequence. Thus, it is imperative to develop novel

DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks
free download

ABSTRACT The widespread location-based social networks (LB-SNs) have immersed into our daily life. As an open platform, LBSNs typically allow all kinds of users to register accounts. Malicious attackers can easily join and post misleading information, often with the intention

Theory of deep learning III: the non-overfitting puzzle
free download

ABSTRACT : A main puzzle of deep networks revolves around the apparent absence of overfitting intended as robustness of the expected error against overparametrization, despite the large capacity demonstrated by zero training error on randomly labeled data. In this note

Large Model Support for Deep Learning in Caffe and Chainer
free download

ABSTRACT Deep learning is both compute-and data-intense, and recent breakthroughs have largely been fueled by the fp32 compute capacity of modern GPUs. This has made GPUs the prevalent tool for training deep neural networks, but GPUs have only small

Weblogo-2m: Scalable logo detection by deep learning from the web
free download

ABSTRACT Existing logo detection methods usually consider a small number of logo classes and limited images per class with a strong assumption of requiring tedious object bounding box annotations, therefore not scalable to real-world applications. In this work, we tackle

A DEEP LEARNING PLATFORM FOR DIABETES BIG DATA ANALYSIS
free download

1Centre for Bio-Inspired Technologies, Institute of Biomedical Engineering, Imperial College London, UK 2Data Science Institute, Imperial College London, UKDeep learning has been proven to achieve stateof-art performance in modelling complex behaviour and the

AMLDDeep Learning in PyTorch 3. Multi-layer perceptrons, back-propagation, autograd
free download

This crude algorithm works often surprisingly well. With MNISTs0s as negative class, and 1s as positive one. epoch 0 nb_changes 64 train_error 0.23%% test_error 0.19%% epoch 1 nb_changes 24 train_error 0.07%% test_error 0.00%% epoch 2 nb_changes 10

EE-559Deep learning 2. Learning capacity, basic embeddings
free download

Page 1. EE-559 Deeplearning 2. Learning capacity, basic embeddings François Fleuret https://fleuret.org/dlc/ January 18, 2018 Draft, do not distributeCOLE POLYTECHNIQUE F D RALE DE LAUSANNE Page 2. Learning from data François Fleuret EE-559 Deep

Supplementary Materials for DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
free download

For the comparison of DeepHit with conventional machine learning algorithms, we modified survival data to perform survival analysis based on the mortality prediction using machine learning algorithms. For every time interval m where m= 0, , Tmax, the cause-specific data

Efficient Deep Learning Inference on Edge Devices
free download

ABSTRACT Deploying deep learning (DL) models on edge devices is getting popular nowadays. The huge diversity of edge devices, with both computation and memory constraints, however, make efficient deployment challenging. In this paper, we propose a

AMLDDeep Learning in PyTorch 5. Going deeper
free download

Page 1. AMLD DeepLearning in PyTorch 5. Going deeper François Fleuret http://fleuret.org/ amld/ February 10, 2018COLE POLYTECHNIQUE F D RALE DE LAUSANNE Page 2. Batch processing François Fleuret AMLD DeepLearning in PyTorch / 5. Going deeper 2 / 64 Page

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
free download

In the past two decades, liver diseases such as Fatty Liver Disease (FLD) are repeatedly listed as leading causes of liver related death in US among adults aged 45 54 years. The deposition of fat in liver cells is called steatosis. Metabolic syndrome, consumption of

EE-559Deep learning 9. Autoencoders and generative models
free download

François Fleuret https://fleuret.org/dlc/ January 19, 2018 François Fleuret EE-559 Deep learning / 9. Autoencoders and generative models Many applications such as image synthesis, denoising, super-resolution, speech synthesis, compression, etc. require to go beyond

AMLDDeep Learning in PyTorch 4. Convolution Neural Networks
free download

Page 1. AMLD DeepLearning in PyTorch 4. Convolution Neural Networks François Fleuret http://fleuret.org/amld/ February 10, 2018COLE POLYTECHNIQUE F D RALE DE LAUSANNE Page 2. Convolutional layers François Fleuret AMLD DeepLearning in PyTorch / 4. Convolution

Discrete Deep Learning for Fast Content-Aware Recommendation
free download

ABSTRACT Cold-start problem and recommendation efficiency have been regarded as two crucial challenges in the recommender system. In this paper, we propose a hashing based deep learning framework called Discrete Deep Learning (DDL), to map users and items to

EE-559Deep learning 6. Going deeper.
free download

Network Nb. layers LeNet5 (leCun et al., 1998) 5 AlexNet (Krizhevsky et al., 2012) 8 VGG (Simonyan and Zisserman, 2014) 11 19 GoogleLeNet (Szegedy et al., 2015) 22 Inception v4 (Szegedy et al., 2016) 76 Resnet (He et al., 2015) 34 152 Resnet (He et al., 2016) 1001 Resnet (Huang

Travel Behavior Classification: An Approach with Social Network and Deep Learning 2
free download

Uncovering human travel behavior is crucial for not only travel demand analysis but also 2 ridesharing opportunities. To group similar travelers, this paper develops a deep learning based 3 approach to classify travelers behaviors given their trip characteristics, including

Machine Translation Using Deep Learning : A Survey
free download

ABSTRACT Machine Translation using Deep Learning (Neural Machine Translation) is a newly proposed approach to machine translation. The term Machine Translation is used in the sense of translation of one language to another, with no human improvement. It can also

Deep Learning for Joint Source-Channel Coding of Text
free download

ABSTRACT We consider the problem of joint source and channel coding of structured data such as natural language over a noisy channel. The typical approach inspired by information theory to this problem involves performing source coding to first compress the

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
free download

ABSTRACT Survival analysis (time-to-event analysis) is widely used in economics and finance, engineering, medicine and many other areas. A fundamental problem is to understand the relationship between the covariates and the (distribution of) survival times (times-to-event) ABSTRACT High peak-to-average power ratio (PAPR) has been one of the major drawbacks of orthogonal frequency division multiplexing (OFDM) systems. In this letter, we propose a novel PAPR reduction scheme, known as PAPR reducing network (PRNet), based on the

An End-to-End Deep Learning Architecture for Graph Classification
free download

ABSTRACT Neural networks are typically designed to deal with data in tensor forms. In this paper, we propose a novel neural network architecture accepting graphs of arbitrary structure. Given a dataset containing graphs in the form of (G, y) where G is a graph and y is

LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
free download

ABSTRACT Deep neural networks (DNNs) may contain millions, even billions, of parameters/weights, making storage and computation very expensive and motivating a large body of work aimed at reducing their complexity by using, eg, sparsityinducing

Deep Inductive Network Representation Learning
free download

ABSTRACT This paper presents a general inductive graph representation learning framework called DeepGL for learning deep node and edge features that generalize across- networks. 1 In particular, DeepGL begins by deriving a set of base features from the graph

Exploration and Tradeoffs of Different Kernels in FPGA Deep Learning Applications
free download

Convolution Function to compute next layer Dot Pooling or subsampling layer to reduce

A Deep Model with Local Surrogate Loss for General Cost-sensitive Multi-label Learning
free download

ABSTRACT Multi-label learning is an important machine learning problem with a wide range of applications. The variety of criteria for satisfying different application needs calls for costsensitive algorithms, which can adapt to different criteria easily. Nevertheless, because

Comments onNovel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopyby Terunuma et al.
free download

We have several comments with regard to the research paper,Novel real-time tumor- contouring method using deep learning to prevent mistracking in X-ray fluoroscopy,by Terunuma and Endo, which was published in the December 2017 issue of Radiological

LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures
free download

ABSTRACT Log-linear models models are widely used in machine learning and in particular are ubiquitous in deep learning architectures in the form of the softmax. While exact inference and learning of these requires linear time, it can be done approximately in sub

Deep Learning for Matching in Search and Recommendation
free download

ABSTRACT Matching is the key problem in both search and recommendation, that is to measure the relevance of a document to a query or the interest of a user on an item. Previously, machine learning methods have been exploited to address the problem, which

Deep Learning for Remote Sensing Scene Classification: A Simple and High-Performance Architecture
free download

Scene classification is an important and challenging problem in Earth observation remote sensing. The goal is to assign labels to satellite or airborne images according to a set of semantic categories (eg land-cover and land-use categories), and the difficulty comes from

Perception-Action- Learning System for Mobile Social-Service Robots using Deep Learning
free download

ABSTRACT We introduce a robust integrated perception-action- learning system for mobile social-service robots. The state-of-the-art deep learning techniques were incorporated into each module which significantly improves the performance in solving social service tasks

Estimating Aspect Score for Stroke from Brain CT Images Based-on Deep Learning
free download

ABSTRACT . Stroke is a very dangerous disease and CT image is a good way to quickly diagnose the disease. Aspect Score is a tool to measure the severity of the stroke but it has a problem of the scoring variability among experts. This study proposed an objective and
BIG DATA
CLOUD COMPUTING
IOT-INTERNET OF THINGS
ROBOTICS
CONTACT US

NEW IEEE PROJECTS

IEEE PROJECT PAPERS FOR CSE
IEEE PROJECTS DOWNLOAD
IEEE PROJECTS FOR EEE
IEEE PROJECT PAPERS FOR ECE
IEEE PROJECTS FOR ECE 2016
IEEE PROJECTS FOR ECE 2017
IEEE PROJECTS 2017
IEEE MINI PROJECTS