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1. 发明申请

US20080301647A1 Delivering Malformed Data for Fuzz Testing to Software Applications 有权
标题翻译：为软件应用提供畸形数据进行模糊测试
公开(公告)号：US20080301647A1
公开(公告)日：2008-12-04
申请号：US11756782
申请日：2007-06-01
申请人： Eugene Neystadt , Nissim Natanov , Meir Shmouely , Yoram Singer
发明人： Eugene Neystadt , Nissim Natanov , Meir Shmouely , Yoram Singer
IPC分类号： G06F9/44
CPC分类号： G06F11/3672
摘要： Systems and methods to deliver malformed data for software application fuzzing are described. In one aspect, a fuzzing engine receives well-formed valid input data from a test automation tool. The received data is for input into a software application to implement a functional test. Responsive to receiving the well-formed valid input data, the fuzzing engine automatically generates corresponding malformed data based on characteristics of the well-formed valid input data. The application is then automatically fuzzed with the malformed data to notify an end-user of any security vulnerabilities in one or more code paths of the application used to process the malformed data.
摘要翻译：描述了用于提供软件应用程序模糊的畸形数据的系统和方法。在一个方面，模糊引擎从测试自动化工具接收良好的有效输入数据。接收到的数据用于输入到软件应用程序中以实现功能测试。响应于接收到良好的有效输入数据，模糊引擎基于形成良好的有效输入数据的特性自动生成相应的畸形数据。然后，应用程序会自动使用格式错误的数据进行模糊处理，以通知最终用户在用于处理格式错误的数据的应用程序的一个或多个代码路径中的任何安全漏洞。

2. 发明授权

US07328146B1 Spoken language understanding that incorporates prior knowledge into boosting 有权
标题翻译：将先前知识纳入提升的口语理解
公开(公告)号：US07328146B1
公开(公告)日：2008-02-05
申请号：US11484120
申请日：2006-07-11
申请人： Hiyan Alshawi , Giuseppe DiFabrizzio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
发明人： Hiyan Alshawi , Giuseppe DiFabrizzio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
IPC分类号： G06F17/20
CPC分类号： G06F17/28
摘要： A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of ηp(x), or 1−ηp(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1−ηp(x), or ηp(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.
摘要翻译：用于理解诸如言语之类的条目的系统通过采用将给定的训练条目语料库放大三倍的先验知识来开发分类器。为分类器中使用的每个标签创建规则，并将创建的规则应用于给定的语料库，以通过将一个权重为etap（x）或1-etap（x）附加到标签来创建附件语料库分别符合或未能满足标签规则的条件的条目，并通过将1-etap（x）或etap（x）的权重附加到标签的标签上来创建非附件语料库满足或不符合标签规则条件的条目。

3. 发明授权

US08725661B1 Growth and use of self-terminating prediction trees 有权
标题翻译：自我终止预测树的生长和使用
公开(公告)号：US08725661B1
公开(公告)日：2014-05-13
申请号：US13082231
申请日：2011-04-07
申请人： Sally Goldman , Yoram Singer
发明人： Sally Goldman , Yoram Singer
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： Self-terminating prediction trees are a generalization of decision trees in which each node is associated with a real-valued prediction. Instead of having a separate pruning phase, a self-terminating tree may be constructed by applying various limits during tree growth that prevent nodes that add little or no additional decision power from being grown within the tree. The prediction tree is learned by performing a penalized empirical risk minimization task, based upon the use of prediction values and functional tree complexity. A separate pruning phase is not required, since the tree self-terminates further growth.
摘要翻译：自终止预测树是决策树的泛化，其中每个节点与实值预测相关联。除了具有单独的修剪阶段之外，可以通过在树生长期间应用各种限制来构造自终止树，以防止在树中增加很少或没有额外的决定权力的节点。基于预测值和功能树复杂度的使用，通过执行惩罚性经验风险最小化任务来学习预测树。不需要单独的修剪阶段，因为树自我终止进一步的增长。

4. 发明授权

US06418432B1 System and method for finding information in a distributed information system using query learning and meta search 失效
标题翻译：使用查询学习和元搜索在分布式信息系统中查找信息的系统和方法
公开(公告)号：US06418432B1
公开(公告)日：2002-07-09
申请号：US09117312
申请日：1998-07-24
申请人： William W Cohen , Yoram Singer
发明人： William W Cohen , Yoram Singer
IPC分类号： G06F1730
CPC分类号： G06F17/30864 , G06F17/30707 , Y10S707/99935
摘要： An information retrieval system finds information in a Distributed Information System (DIS), e.g. the Internet using query learning and meta search for adding documents to resource directories contained in the DIS. A selection means generates training data characterized as positive and negative examples of a particular class of data residing in the DIS. A learning means generates from the training data at least one query that can be submitted to any one of a plurality of search engines for searching the DIS to find “new” items of the particular class. An evaluation means determines and verifies that the new item(s) is a new subset of the particular class and adds or updates the particular class in the resource directory.
摘要翻译：信息检索系统在分布式信息系统（DIS）中查找信息，例如。互联网使用查询学习和元搜索将文档添加到DIS中包含的资源目录中。选择装置产生表征为驻留在DIS中的特定数据类别的正和负例子的训练数据。学习装置从训练数据生成至少一个可以提交给多个搜索引擎中的任何一个的查询，用于搜索DIS以找到特定类的“新”项。评估装置确定并验证新项目是特定类别的新子集，并添加或更新资源目录中的特定类。

5. 发明授权

US06244873B1 Wireless myoelectric control apparatus and methods 有权
标题翻译：无线肌电控制装置及方法
公开(公告)号：US06244873B1
公开(公告)日：2001-06-12
申请号：US09419376
申请日：1999-10-15
申请人： William Colyer Hill , Fernando Carlos Pereira , Yoram Singer , Loren Gilbert Terveen
发明人： William Colyer Hill , Fernando Carlos Pereira , Yoram Singer , Loren Gilbert Terveen
IPC分类号： G09B1900
CPC分类号： G06F3/015
摘要： Myoelectric and wireless technologies are used for the control of a portable electronic device, such as a cellular telephone or a personal digital assistant (PDA). That is, a portable electronic device has a wireless myoelectric user interface. An apparatus includes a material which forms a forearm or wrist band, myoelectric sensors attached to the band, a digital processor coupled to the myoelectric sensors, and a wireless transmitter coupled to the digital processor. The apparatus is operative to sense and detect particular hand and/or finger gestures, and to broadcast control signals corresponding to the gestures for operative control of the portable electronic device.
摘要翻译：肌电和无线技术用于便携式电子设备的控制，例如蜂窝电话或个人数字助理（PDA）。也就是说，便携式电子设备具有无线肌电用户界面。一种装置包括形成前臂或腕带的材料，连接到带的肌电传感器，耦合到肌电传感器的数字处理器以及耦合到数字处理器的无线发射器。该装置可操作以感测和检测特定的手和/或手指手势，并且广播对应于手势的控制信号以便对便携式电子设备的操作控制。

6. 发明授权

US08336102B2 Delivering malformed data for fuzz testing to software applications 有权
标题翻译：将软件测试的畸形数据提供给软件应用程序
公开(公告)号：US08336102B2
公开(公告)日：2012-12-18
申请号：US11756782
申请日：2007-06-01
申请人： Eugene Neystadt , Nissim Natanov , Meir Shmouely , Yoram Singer
发明人： Eugene Neystadt , Nissim Natanov , Meir Shmouely , Yoram Singer
IPC分类号： G06F11/36 , G06F9/44
CPC分类号： G06F11/3672
摘要： Systems and methods to deliver malformed data for software application fuzzing are described. In one aspect, a fuzzing engine receives well-formed valid input data from a test automation tool. The received data is for input into a software application to implement a functional test. Responsive to receiving the well-formed valid input data, the fuzzing engine automatically generates corresponding malformed data based on characteristics of the well-formed valid input data. The application is then automatically fuzzed with the malformed data to notify an end-user of any security vulnerabilities in one or more code paths of the application used to process the malformed data.
摘要翻译：描述了用于提供软件应用程序模糊的畸形数据的系统和方法。在一个方面，模糊引擎从测试自动化工具接收良好的有效输入数据。接收到的数据用于输入到软件应用程序中以实现功能测试。响应于接收到良好的有效输入数据，模糊引擎基于形成良好的有效输入数据的特性自动生成相应的畸形数据。然后，应用程序会自动使用格式错误的数据进行模糊处理，以通知最终用户在用于处理格式错误的数据的应用程序的一个或多个代码路径中的任何安全漏洞。

7. 发明授权

US07152029B2 Spoken language understanding that incorporates prior knowledge into boosting 有权
标题翻译：将先前知识纳入提升的口语理解
公开(公告)号：US07152029B2
公开(公告)日：2006-12-19
申请号：US10160461
申请日：2002-05-31
申请人： Hiyan Alshawi , Giuseppe DiFabbrizio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
发明人： Hiyan Alshawi , Giuseppe DiFabbrizio , Narendra K. Gupta , Mazin G. Rahim , Robert E. Schapire , Yoram Singer
IPC分类号： G06F17/20
CPC分类号： G10L15/063
摘要： A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifyier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of ηp(x), or 1−ηp(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1−ηp(x), or ηp(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.
摘要翻译：用于理解诸如言语之类的条目的系统通过采用将给定的训练条目语料库放大三倍的先验知识来开发分类器。为分类器中使用的每个标签创建一个规则，并将创建的规则应用于给定的语料库以通过将etap（x）或1-etap（x）的权重附加到标签来创建附件语料库分别符合或未能满足标签规则的条件的条目，并通过将1-etap（x）或etap（x）的权重附加到标签的标签上来创建非附件语料库满足或不符合标签规则条件的条目。

8. 发明授权

US06453307B1 Method and apparatus for multi-class, multi-label information categorization 有权
标题翻译：用于多类，多标签信息分类的方法和装置
公开(公告)号：US06453307B1
公开(公告)日：2002-09-17
申请号：US09253692
申请日：1999-02-22
申请人： Robert E. Schapire , Yoram Singer
发明人： Robert E. Schapire , Yoram Singer
IPC分类号： G06F1518
CPC分类号： G06K9/6256 , G06N3/08 , G06N99/005
摘要： A method and apparatus are provided for multi-class, mutli-label information categorization. A weight is assigned to each information sample in a training set, the training set containing a plurality of information samples, such as text documents, and associated labels. A base hypothesis is determined to predict which labels are associated with a given information sample. The base hypothesis predicts whether or not each label is associated with information sample or predicts the likelihood that each label is associated with the information sample. In the case of a document, the base hypothesis evaluates words in each document to determine one or more words that predict the associated labels. When a base hypothesis is determined, the weight assigned to each information sample in the training set is modified based on the base hypothesis predictions.
摘要翻译：提供了一种用于多类，多标签信息分类的方法和装置。在训练集中的每个信息样本分配权重，训练集包含多个信息样本，例如文本文档和相关联的标签。确定基础假设以预测哪些标签与给定信息样本相关联。基础假设预测每个标签是否与信息样本相关联，或预测每个标签与信息样本相关联的可能性。在文档的情况下，基础假设评估每个文档中的单词以确定预测相关标签的一个或多个单词。当确定基础假设时，基于基础假设预测修改分配给训练集中的每个信息样本的权重。

9. 发明授权

US09053115B1 Query image search 有权
标题翻译：查询图像搜索
公开(公告)号：US09053115B1
公开(公告)日：2015-06-09
申请号：US13592850
申请日：2012-08-23
申请人： Charles J. Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
发明人： Charles J. Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
IPC分类号： G06F17/30
CPC分类号： G06F17/301 , G06F17/30247 , G06F17/30268
摘要： Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.
摘要翻译：用于识别查询图像的结果图像的方法，系统和装置。获得与查询图像相关联的一个或多个标签。识别符合查询标签的候选图像。为候选图像生成视觉相似性分数。每个视觉相似性分数表示相应候选图像与查询图像的视觉相似度。基于视觉相似性得分，针对每个候选图像生成相关性分数。每个相关性分数表示各个候选图像与查询图像的相关度的度量。候选图像基于相关性分数进行排序，候选图像的最高排名子集被识别为结果图像并且由图像搜索结果引用。结果图像可以是满足相对于查询图像和其他结果图像的相似性条件的候选图像。

10. 发明授权

US08429173B1 Method, system, and computer readable medium for identifying result images based on an image query 有权
标题翻译：用于基于图像查询来识别结果图像的方法，系统和计算机可读介质
公开(公告)号：US08429173B1
公开(公告)日：2013-04-23
申请号：US12763466
申请日：2010-04-20
申请人： Charles Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
发明人： Charles Rosenberg , Jingbin Wang , Sarah Moussa , Erik Murphy-Chutorian , Andrea Frome , Yoram Singer , Radhika Malpani
IPC分类号： G06F17/30
CPC分类号： G06F17/301 , G06F17/30247 , G06F17/30268
摘要： Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.
摘要翻译：用于识别查询图像的结果图像的方法，系统和装置。获得与查询图像相关联的一个或多个标签。识别符合查询标签的候选图像。为候选图像生成视觉相似性分数。每个视觉相似性分数表示相应候选图像与查询图像的视觉相似度。基于视觉相似性得分，针对每个候选图像生成相关性分数。每个相关性分数表示各个候选图像与查询图像的相关度的度量。候选图像基于相关性分数进行排序，候选图像的最高排名子集被识别为结果图像并且由图像搜索结果引用。结果图像可以是满足相对于查询图像和其他结果图像的相似性条件的候选图像。

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