Crowd labeling latent Dirichlet allocation
L Pion-Tonachini, S Makeig… - Knowledge and information …, 2017 - Springer
Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can
be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for …
be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for …
Accurate tag relevance prediction for image search
Embodiments of the present invention provide an automated image tagging system that can
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
Accurate tag relevance prediction for image search
Embodiments of the present invention provide an automated image tagging system that can
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
Leveraging side information to improve label quality control in crowd-sourcing
We investigate the possibility of leveraging side information for improving quality control
over crowd-sourced data. We extend the GLAD model, which governs the probability of …
over crowd-sourced data. We extend the GLAD model, which governs the probability of …
Vote aggregation techniques in the Geo-Wiki crowdsourcing game: a case study
Abstract The Cropland Capture game (CCG) aims to map cultivated lands using around
170000 satellite images. The contribution of the paper is threefold:(a) we improve the quality …
170000 satellite images. The contribution of the paper is threefold:(a) we improve the quality …
Classification of multiple annotator data using variational Gaussian process inference
In this paper we address supervised learning problems where, instead of having a single
annotator who provides the ground truth, multiple annotators, usually with varying degrees …
annotator who provides the ground truth, multiple annotators, usually with varying degrees …
The cropland capture game: good annotators versus vote aggregation methods
Abstract The Cropland Capture game, which is a recently developed Geo-Wiki game, aims
to map cultivated lands using around 17,000 satellite images from the Earth's surface. Using …
to map cultivated lands using around 17,000 satellite images from the Earth's surface. Using …
Votes aggregation techniques in Geo-Wiki crowdsourcing game: A case study
The Cropland Capture game (CCG) aims to map cultivated lands using around 170000
satellite images. The contribution of the paper is threefold:(a) we improve the quality of the …
satellite images. The contribution of the paper is threefold:(a) we improve the quality of the …
Accurate tag relevance prediction for image search
Z Lin, S Xiaohui, J Brandt, J Zhang, C Fang - US Patent 11,816,888, 2023 - Google Patents
Embodiments of the present invention provide an automated image tagging system that can
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
predict a set of tags, along with relevance scores, that can be used for keyword-based image …
[图书][B] Furthering the Automation of Electroencephalographic Source Analysis
L Pion-Tonachini - 2019 - search.proquest.com
The electroencephalogram (EEG) provides a non-invasive, minimally restrictive, and
relatively low-cost measure of mesoscale brain dynamics with high temporal resolution …
relatively low-cost measure of mesoscale brain dynamics with high temporal resolution …