[PDF][PDF] Automatic annotation of data extracted from large Web sites.
… Let us introduce an example to present the overall context and the issues we address. …
a set of sample pages like these, we obtain a grammar description of the common template, …
a set of sample pages like these, we obtain a grammar description of the common template, …
[PDF][PDF] Balancing training data for automated annotation of keywords: a case study.
… Automatic annotation in genomics and proteomics is raising … class examples were artificially
created and the data sets are … applying methods for attribute selection. Other directions can …
created and the data sets are … applying methods for attribute selection. Other directions can …
[PDF][PDF] Data quality from crowdsourcing: a study of annotation selection criteria
… In Section 2, we first examine annotation data obtained by both … select annotators and
examples for selective sampling. Next, … identify the divisive snippets automatically, we consider the …
examples for selective sampling. Next, … identify the divisive snippets automatically, we consider the …
Automated example selection for iterative training of annotation networks
UB Sahin, C Kavak, Y Ataseven… - Artificial Intelligence and …, 2022 - spiedigitallibrary.org
… annotation network is selecting the data samples to annotate and train. The selected data
samples are annotated … annotation operation semi-automatic, we used an annotation tool. Our …
samples are annotated … annotation operation semi-automatic, we used an annotation tool. Our …
Feature selection for automatic image annotation
L Setia, H Burkhardt - Joint Pattern Recognition Symposium, 2006 - Springer
… We provide some annotation examples in Table 1. For a more controlled test, we take 10
distinct Corel Categories, namely Africa, beach, buildings, buses, dinosaurs, elephants, flowers…
distinct Corel Categories, namely Africa, beach, buildings, buses, dinosaurs, elephants, flowers…
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
A Alcoforado, TP Ferraz, LH Okamura, IC Fama… - arXiv preprint arXiv …, 2024 - arxiv.org
… annotated data. To address these issues, this paper contributes an automatic and informed
data selection … are not suited to the selection, with random sampling being a better strategy. …
data selection … are not suited to the selection, with random sampling being a better strategy. …
A survey and analysis on automatic image annotation
Q Cheng, Q Zhang, P Fu, C Tu, S Li - Pattern Recognition, 2018 - Elsevier
… the visual feature); to annotate a new image by choosing a label of the highest probability. …
The topic model-based AIA methods consider annotated images as samples from a specific …
The topic model-based AIA methods consider annotated images as samples from a specific …
Annosearch: Image auto-annotation by search
… Or, in a Web image search, we can choose one of a Web image’s surrounding keywords as
the … The bottom four examples in Figure 5 show examples of “no hit” by the strict evaluation. …
the … The bottom four examples in Figure 5 show examples of “no hit” by the strict evaluation. …
Deep learning based active learning technique for data annotation and improve the overall performance of classification models
… sample selection that improves the performance of the classifier with fewer manual annotations
at … certain majority samples automatically, without human intervention. These two types of …
at … certain majority samples automatically, without human intervention. These two types of …
A data reduction and organization approach for efficient image annotation
… the cost on human annotation, by means of automatically selecting the most informative
unlabeled samples for annotation. The critical issue lies on the selection of such samples. As an …
unlabeled samples for annotation. The critical issue lies on the selection of such samples. As an …
相关搜索
- automatic image annotation
- semi-automatic data annotation
- informed data selection human annotation
- automatic data grabber
- automatic data extraction
- cnn feature automatic image annotation method
- auto annotation discriminative metric learning
- data annotation active learning technique
- auto annotation corel dataset
- auto annotation study of quality issues
- auto annotation neighbor models
- data annotation feature space projection
- informed data selection few shot learning
- data annotation overall performance
- data annotation classification models
- semi-automatic semantic annotation