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1. 发明授权

US10701261B2 Method, system and computer program product for selective image capture 有权
公开(公告)号：US10701261B2
公开(公告)日：2020-06-30
申请号：US15224851
申请日：2016-08-01
申请人： International Business Machines Corporation
发明人： Jui-Hsin Lai , Ching-Yung Lin , Wan-Yi Lin
IPC分类号： H04N5/228 , H04N5/232 , G06K9/00
摘要： A method includes analyzing a preview image made by an image sensor when operating in a preview image mode to determine if the preview image contains some portion that corresponds to information that is considered not subject to being imaged. The method further includes, if it is determined that the preview image does comprise some image portion that corresponds to information that is considered not subject to being imaged, disabling the image sensor from capturing an image that would correspond to the preview image. Analyzing can include accessing a data storage that contains representations of information that is considered not subject to being imaged for comparison with image features extracted from the preview image, where the data storage is at least one of contained in a device that also contains the image sensor, or is located remotely from the device and can be accessed via a wireless connection.

2. 发明授权

US09224104B2 Generating data from imbalanced training data sets 有权
标题翻译：从不平衡训练数据集生成数据
公开(公告)号：US09224104B2
公开(公告)日：2015-12-29
申请号：US14034797
申请日：2013-09-24
申请人： International Business Machines Corporation
发明人： Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N99/005 , G06F17/50
摘要： Injecting generated data samples into a minority data class of an imbalanced training data set is provided. In response to receiving an input to balance the imbalanced training data set that includes a majority data class and the minority data class, a set of data samples is generated for the minority data class. A distance is calculated from each data sample in the set of generated data samples to a center of a kernel that includes a set of data samples of the majority data class. Each data sample in the set of generated data samples is stored within a corresponding distance score bucket based on the calculated distance of a data sample. Generated data samples are selected from a number of highest ranking distance score buckets. The generated data samples selected from the number of highest ranking distance score buckets are injected into the minority data class.
摘要翻译：提供了将生成的数据样本注入到不平衡训练数据集的少数数据类中。响应于接收到输入以平衡包括多数数据类别和少数数据类别的不平衡训练数据集，为少数数据类生成一组数据样本。将生成的数据样本集中的每个数据样本的距离计算到包含大多数数据类别的一组数据样本的内核中心。所生成的数据样本组中的每个数据样本基于所计算的数据样本的距离被存储在相应的距离分数桶内。从多个最高排名的距离得分桶中选择生成的数据样本。将从最高排名距离得分桶数中选出的生成数据样本注入到少数数据类中。

3. 发明申请

US20180035045A1 METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT CONFIGURED TO PROTECT DOCUMENTS TO BE CAPTURED IN CAMERA PREVIEW 审中-公开
公开(公告)号：US20180035045A1
公开(公告)日：2018-02-01
申请号：US15224851
申请日：2016-08-01
申请人： International Business Machines Corporation
发明人： Jui-Hsin Lai , Ching-Yung Lin , Wan-Yi Lin
IPC分类号： H04N5/232 , G06K9/72 , G06K9/00
CPC分类号： H04N5/23222 , G06K9/00456 , G06K2209/01 , G06K2209/25 , H04N5/232 , H04N5/23216 , H04N5/23258 , H04N5/23293
摘要： A method includes analyzing a preview image made by an image sensor when operating in a preview image mode to determine if the preview image contains some portion that corresponds to information that is considered not subject to being imaged. The method further includes, if it is determined that the preview image does comprise some image portion that corresponds to information that is considered not subject to being imaged, disabling the image sensor from capturing an image that would correspond to the preview image. Analyzing can include accessing a data storage that contains representations of information that is considered not subject to being imaged for comparison with image features extracted from the preview image, where the data storage is at least one of contained in a device that also contains the image sensor, or is located remotely from the device and can be accessed via a wireless connection.

4. 发明授权

US09589245B2 Insider threat prediction 有权
标题翻译：内幕威胁预测
公开(公告)号：US09589245B2
公开(公告)日：2017-03-07
申请号：US14246816
申请日：2014-04-07
申请人： International Business Machines Corporation
发明人： Anni R. Coden , Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06Q10/06 , H04L29/06 , G06F21/55
CPC分类号： G06Q10/0635 , G06F21/552 , G06F21/554 , H04L63/1425
摘要： A method for predicting insider threat includes mining electronic data of an organization corresponding to activity of an entity, determining features of the electronic data corresponding to the activity of the entity, classifying the features corresponding to the activity of the entity, determining sequences of classified features matching one or more patterns of insider threat, scoring the entity according to matches of the classified features to the one or more patterns of insider threat, and predicting an insider threat corresponding to the entity according to the score.
摘要翻译：用于预测内部威胁的方法包括对与实体的活动相对应的组织的电子数据挖掘，确定与实体的活动相对应的电子数据的特征，对与实体的活动相对应的特征进行分类，确定分类特征的序列匹配一个或多个内部威胁模式，根据分类特征的匹配对一个或多个内部威胁模式进行评分，并根据分数预测与实体相对应的内部威胁。

5. 发明申请

US20150286819A1 INSIDER THREAT PREDICTION 有权
标题翻译：内部威胁预测
公开(公告)号：US20150286819A1
公开(公告)日：2015-10-08
申请号：US14246816
申请日：2014-04-07
申请人： International Business Machines Corporation
发明人： Anni R. Coden , Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06F21/55
CPC分类号： G06Q10/0635 , G06F21/552 , G06F21/554 , H04L63/1425
摘要： A method for predicting insider threat includes mining electronic data of an organization corresponding to activity of an entity, determining features of the electronic data corresponding to the activity of the entity, classifying the features corresponding to the activity of the entity, determining sequences of classified features matching one or more patterns of insider threat, scoring the entity according to matches of the classified features to the one or more patterns of insider threat, and predicting an insider threat corresponding to the entity according to the score.
摘要翻译：用于预测内部威胁的方法包括对与实体的活动相对应的组织的电子数据挖掘，确定与实体的活动相对应的电子数据的特征，对与实体的活动相对应的特征进行分类，确定分类特征的序列匹配一个或多个内部威胁模式，根据分类特征的匹配对一个或多个内部威胁模式进行评分，并根据分数预测与实体相对应的内部威胁。

6. 发明申请

US20150088791A1 GENERATING DATA FROM IMBALANCED TRAINING DATA SETS 有权
标题翻译：从不平等的培训数据集生成数据
公开(公告)号：US20150088791A1
公开(公告)日：2015-03-26
申请号：US14034797
申请日：2013-09-24
申请人： International Business Machines Corporation
发明人： Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06F17/50
摘要： Injecting generated data samples into a minority data class of an imbalanced training data set is provided. In response to receiving an input to balance the imbalanced training data set that includes a majority data class and the minority data class, a set of data samples is generated for the minority data class. A distance is calculated from each data sample in the set of generated data samples to a center of a kernel that includes a set of data samples of the majority data class. Each data sample in the set of generated data samples is stored within a corresponding distance score bucket based on the calculated distance of a data sample. Generated data samples are selected from a number of highest ranking distance score buckets. The generated data samples selected from the number of highest ranking distance score buckets are injected into the minority data class.
摘要翻译：提供了将生成的数据样本注入到不平衡训练数据集的少数数据类中。响应于接收到输入以平衡包括多数数据类别和少数数据类别的不平衡训练数据集，为少数数据类生成一组数据样本。将生成的数据样本集中的每个数据样本的距离计算到包含大多数数据类别的一组数据样本的内核中心。所生成的数据样本组中的每个数据样本基于所计算的数据样本的距离被存储在相应的距离分数桶内。从多个最高排名的距离得分桶中选择生成的数据样本。将从最高排名距离得分桶数中选出的生成数据样本注入到少数数据类中。

7. 发明授权

US09798982B2 Determining a number of kernels using imbalanced training data sets 有权
公开(公告)号：US09798982B2
公开(公告)日：2017-10-24
申请号：US14831434
申请日：2015-08-20
申请人： International Business Machines Corporation
发明人： Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06F15/18 , G06N99/00 , G06F17/50
CPC分类号： G06N99/005 , G06F17/50
摘要： Determining a number of kernels within a model is provided. A number of kernels that include data samples of a majority data class of an imbalanced training data set is determined based on a set of generated artificial data samples for a minority data class of the imbalanced training data set. The number of kernels within the model is generated based on the set of generated artificial data samples. A likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set is calculated. Parameters of each kernel in the number of kernels are updated based on the likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set. Each kernel in the number of kernels is adjusted based on the updated parameters.

8. 发明申请

US20150356464A1 GENERATING DATA FROM IMBALANCED TRAINING DATA SETS 有权
标题翻译：从不平等的培训数据集生成数据
公开(公告)号：US20150356464A1
公开(公告)日：2015-12-10
申请号：US14831434
申请日：2015-08-20
申请人： International Business Machines Corporation
发明人： Ching-Yung Lin , Wan-Yi Lin , Yinglong Xia
IPC分类号： G06N99/00 , G06F17/50
CPC分类号： G06N99/005 , G06F17/50
摘要： Determining a number of kernels within a model is provided. A number of kernels that include data samples of a majority data class of an imbalanced training data set is determined based on a set of generated artificial data samples for a minority data class of the imbalanced training data set. The number of kernels within the model is generated based on the set of generated artificial data samples. A likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set is calculated. Parameters of each kernel in the number of kernels are updated based on the likelihood of the set of generated artificial data samples being included in the majority data class of the imbalanced training data set. Each kernel in the number of kernels is adjusted based on the updated parameters.
摘要翻译：提供了确定模型中的一些内核。基于用于不平衡训练数据集的少数数据类别的生成的人造数据样本的集合来确定包括不平衡训练数据集的多数数据类别的数据样本的多个内核。基于所生成的人造数据样本集，生成模型内核的数量。计算生成的人造数据样本集合包含在不平衡训练数据集合的多数数据类别中的可能性。基于在不平衡训练数据集的大多数数据类中包括生成的人造数据样本集合的可能性来更新核心数目中的每个内核的参数。基于更新的参数调整内核数量中的每个内核。

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