公开(公告)号：US09299008B2

公开(公告)日：2016-03-29

申请号：US14025391

申请日：2013-09-12

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Tai-Hui Huang ,  Ming-Yu Shih

IPC: G06K9/62

CPC classification number: G06K9/6264 ,  G06K9/62 ,  G06K9/6259

Abstract: An automatic image classification method applying an unsupervised adaptation method is provided. A plurality of non-manually-labeled observation data are grouped into a plurality of groups. A respectively hypothesis label is set to each of the groups according to a classifier. It is determined whether each member of the observation data in each of the groups is suitable for adjusting the classifier according to the hypothesis label, and the non-manually-labeled observation data which are determined as being suitable for adjusting the classifier are set as a plurality of adaptation data. The classifier is updated according to the hypothesis label and the adaptation data. The observation data are classified according to the updated classifier.

Abstract translation: 提供了一种应用无监督自适应方法的自动图像分类方法。 多个非手动标记的观察数据被分组成多个组。 根据分类器将各个假设标签设置到每个组。 确定每个组中的观察数据的每个成员是否适合于根据假设标签来调整分类器，并且将被确定为适合于调整分类器的非手动标记观察数据设置为 多个适应数据。 分类器根据假设标签和适配数据进行更新。 观察数据根据更新后的分类器进行分类。

公开(公告)号：US20140188847A1

公开(公告)日：2014-07-03

申请号：US13941560

申请日：2013-07-15

Applicant: Industrial Technology Research Institute

Inventor： Tsann-Tay Tang ,  Yu-Feng Hsu ,  Ming-Yu Shih

IPC: G06F17/30

CPC classification number: G06F17/30551 ,  G06F17/30064 ,  G06F17/30241 ,  G06F17/30861 ,  G06F17/30867

Abstract: An interactive object retrieval method is provided. The present method includes receiving a time-space searching condition and a query, and selecting a plurality of searching results from an object database in accordance with the time-space searching condition, a similarity between the query and each of a plurality of data records of a first category in the object database, and a time information and a location information corresponding to each of a plurality of data records of a second category in the object database. The method further includes receiving at least one user input corresponding to at least one of the searching results, and determining a display manner of the searching results on a user interface in accordance with the at least one user input and the similarity between the query and each searching result.

Abstract translation: 提供了交互式对象检索方法。 本方法包括接收时空搜索条件和查询，并且根据时空搜索条件从对象数据库中选择多个搜索结果，查询与多个数据记录中的每一个之间的相似度 对象数据库中的第一类别，以及与对象数据库中的第二类别的多个数据记录中的每一个对应的时间信息和位置信息。 该方法还包括接收与至少一个搜索结果相对应的至少一个用户输入，以及根据该至少一个用户输入和查询与每个用户界面之间的相似度，确定用户界面上的搜索结果的显示方式 搜索结果。

公开(公告)号：US12190234B2

公开(公告)日：2025-01-07

申请号：US17137221

申请日：2020-12-29

Applicant: Industrial Technology Research Institute

Inventor： Yi-Hsiang Chao ,  Chih-Hung Hsieh ,  Ming-Yu Shih

IPC: G06N3/08 ,  G06F16/23 ,  G06N3/045

Abstract: An anomaly detection device based on a generative adversarial network architecture, which uses the single-type training data composed of multiple normal signals to train an anomaly detection model. The anomaly detection device includes an encoder, a generator, a discriminator, and a random vector generator. In the training phase of anomaly detection model, the random latent vectors generated by the random vector generator are sequentially input to a generator to generate the synthesized signals with the same dimension as the normal signals. The synthesized signals are sequentially input into a discriminator to output the corresponding discriminant values. When the corresponding discriminant values are under the predetermined threshold, the corresponding synthesized signals are selected as the anomalous class training data, and the real normal signals are selected as the normal class training data.

公开(公告)号：US20230118614A1

公开(公告)日：2023-04-20

申请号：US17534340

申请日：2021-11-23

Applicant: Industrial Technology Research Institute

Inventor： Mao-Yu Huang ,  Sen-Chia Chang ,  Ming-Yu Shih ,  Tsann-Tay Tang ,  Chih-Neng Liu

IPC: G06N3/08 ,  G06N3/04

Abstract: An electronic device and a method for training a neural network model are provided. The method includes: obtaining a first neural network model and a first pseudo-labeled data; inputting the first pseudo-labeled data into the first neural network model to obtain a second pseudo-labeled data; determining whether a second pseudo-label corresponding to the second pseudo-labeled data matching a first pseudo-label corresponding to the first pseudo-labeled data; in response to the second pseudo-label matching the first pseudo-label, adding the second pseudo-labeled data to a pseudo-labeled dataset; and training the first neural network model according to the pseudo-labeled dataset.

公开(公告)号：US09311366B2

公开(公告)日：2016-04-12

申请号：US13941560

申请日：2013-07-15

Applicant: Industrial Technology Research Institute

Inventor： Tsann-Tay Tang ,  Yu-Feng Hsu ,  Ming-Yu Shih

IPC: G06F7/00 ,  G06F17/30 ,  G06F17/10

CPC classification number: G06F17/30551 ,  G06F17/30064 ,  G06F17/30241 ,  G06F17/30861 ,  G06F17/30867

Abstract: An interactive object retrieval method is provided. The present method includes receiving a time-space searching condition and a query, and selecting a plurality of searching results from an object database in accordance with the time-space searching condition, a similarity between the query and each of a plurality of data records of a first category in the object database, and a time information and a location information corresponding to each of a plurality of data records of a second category in the object database. The method further includes receiving at least one user input corresponding to at least one of the searching results, and determining a display manner of the searching results on a user interface in accordance with the at least one user input and the similarity between the query and each searching result.

Abstract translation: 提供了交互式对象检索方法。 本方法包括接收时空搜索条件和查询，并且根据时空搜索条件从对象数据库中选择多个搜索结果，查询与多个数据记录中的每一个之间的相似度 对象数据库中的第一类别，以及与对象数据库中的第二类别的多个数据记录中的每一个对应的时间信息和位置信息。 该方法还包括接收与至少一个搜索结果相对应的至少一个用户输入，以及根据该至少一个用户输入和查询与每个用户界面之间的相似度，确定用户界面上的搜索结果的显示方式 搜索结果。