搜索结果: 61-71 共查到“Deep Learning”相关记录71条 . 查询时间(0.17 秒)
2017计算机图像，视频和三维形状分析深度学习研讨会（Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS）
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
USING SUPERVISED DEEP LEARNING FOR HUMAN AGE ESTIMATION PROBLEM
Machine Learning Age Estimation Supervised Deep Learning Active Appearance Model Bio-Inspired Feature Support Vector
2017/6/19
Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimat...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/6/19
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
2017智能多媒体分析的深度学习研讨会（Workshop on Deep Learning for Intelligent Multimedia Analytics）(DeLIMMA)
智能多媒体分析的深度学习 研讨会
2017/3/28
Today's digital contents are inherently multimedia: text, image, audio, video etc., due to the advancement of multimodal sensors. Image and video contents, in particular, become a new way of communica...
2017年国际音乐深度学习研讨会（2017 International Workshop on Deep Learning for Music）
2017年 国际音乐 深度学习 研讨会
2017/3/17
There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team'...
2017年ACM深度学习技术国际会议(ICDLT 2017) （2017 International Conference on Deep Learning Technologies）
2017年 ACM深度学习技术 国际会议
2017/1/10
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural ...
Breaking Cryptographic Implementations Using Deep Learning Techniques
deep learning machine learning side channel attacks
2016/12/8
Template attack is the most common and powerful profiled side channel attack. It relies on a realistic assumption regarding the noise of the device under attack: the probability density function of th...
New tool for virtual and augmented reality uses ‘deep learning’
New tool virtual augmented deep learning
2016/7/4
Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles.I...
Deep Learning of Feature Representation with Multiple Instance Learning for Medical Image Analysis
deep learning feature learning supervised un- supervised multiple instance learning
2016/1/22
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
A deep learning framework for modeling structural features of RNA-binding protein targets
learning framework modeling structural features RNA-binding protein targets
2016/1/22
RNA-binding proteins (RBPs) play important roles in the post-transcriptional control of RNAs. Identify-ing RBP binding sites and characterizing RBP bind-ing preferences are key steps toward understand...
Integrative Data Analysis of Multi-platform Cancer Data with a Multimodal Deep Learning Approach
Multi-platform cancer data analysis restricted Boltzmann machine multimodal deep belief network
2016/1/22
Identification of cancer subtypes plays an important role in revealing useful insights into disease pathogenesis and advancing personalized therapy. The recent development of high-throughput sequencin...