搜索结果: 1-15 共查到“知识库 Supervised”相关记录76条 . 查询时间(0.078 秒)
Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
land water segmentation remote sensing deep learning sparse labels
2023/12/5
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
COMPARISON OF SUPERVISED CLASSIFICATION TECHNIQUES WITH ALOS PALSAR SENSOR FOR ROORKEE REGION OF UTTARAKHAND, INDIA
Advanced land observing satellite PALSAR Supervised classification Kappa coefficient
2019/2/28
The Advanced Land Observing Satellite (ALOS) is developed by the Japanese Aerospace Exploration Agency (JAXA) which was launched in the year 2006 for the Earth observation and exploration purpose. The...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
FROM2D TO 3D SUPERVISED SEGMENTATION AND CLASSIFICATION FOR CULTURAL HERITAGE APPLICATIONS
Classification Segmentation Cultural Heritage Machine Learning Random Forest
2018/6/4
The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop ...
Profiled SCA with a New Twist: Semi-supervised Learning
Side-channel attacks Profiled scenario Machine learning
2017/11/13
Profiled side-channel attacks represent the most powerful category of side-channel attacks. In this context, the attacker gains ac- cess of a profiling device to build a precise model which is used to...
WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS
Classification Segmentation Regularization LiDAR Urban Point Cloud Random Forest
2017/7/12
We consider the problem of the semantic classification of 3D LiDAR point clouds obtained from urban scenes when the training set is limited. We propose a non-parametric segmentation model for urban sc...
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...
Multilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised Learning
Semi-Supervised Unsupervised Learning
2017/4/6
Highly frequent in language and communication, metaphor represents a significant challenge
for Natural Language Processing (NLP) applications. Computational work on metaphor has
traditionally evolve...
A Comparative Study of Minimally Supervised Morphological Segmentation
Minimally Supervised Morphological Segmentation
2016/4/7
This article presents a comparative study of a subfield of morphology learning referred to as minimally supervised morphological segmentation. In morphological segmentation, word forms are segmented i...
COMBINED SUPERVISED CLASSIFICATION METHODS IN REMOTE SENSING FOR THE EVALUATION OF FOREST DYNAMICS ALONG THE SLOPES OF MOUNT CAMEROON
Mount Cameroon Remote Sensing Forest cover Lava flow National Advanced School of Engineering
2015/12/29
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...
Semi-Supervised Incremental Learning of Hierarchical Appearance Models
Detection Building Structure, Interpretation Classifi cation Incremental Learning Recognition
2015/12/8
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
Supervised classification of water regions from lidar data in the Wadden Sea using a fuzzy logic concept
lidar laser scanning classification fuzzy logic water
2015/11/10
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...
MEASURING THE QUALTITY OF SAMPLES IN THE SUPERVISED CLASSIFCATION OF REOTELY SENSED IMAGERY
Supervised classification measuring the sample quality rough set
2015/9/28
In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used...
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
Large-scale annotated corpora are a prerequisite to developing high-performance semantic role
labeling systems. Unfortunately, such corpora are expensive to produce, limited in size, and
may not be ...