公开(公告)号：US20140304833A1

公开(公告)日：2014-10-09

申请号：US13856639

申请日：2013-04-04

Applicant: XEROX CORPORATION

Inventor： Sujit Gujar ,  Shourya Roy ,  Shailesh Vaya

IPC: G06F21/62

CPC classification number: G06F21/31 ,  G06F21/554 ,  G06F2221/2133 ,  H04L63/08

Abstract: A method and system for enabling a secure access to data corresponding to a task on a server is disclosed. The task is accessible at a crowdsourcing platform and performable by a crowdworker. The method includes receiving an input for accepting the task on the crowdsourcing platform. The method includes initiating at least one human response test in response to the acceptance of the task by the crowdworker on a computing device. The method includes receiving a response from the crowdworker for the at least one human response test, wherein the response is sent from the computing device. The method includes communicating at least one locator to the computing device if the response is correct. The at least one locator enables the crowdworker to access the data at the server.

Abstract translation: 公开了一种能够安全地访问对应于服务器上的任务的数据的方法和系统。 这个任务可以在众包的平台上访问，并且可以由人群工作者进行。 该方法包括接收在众包平台上接受任务的输入。 该方法包括响应于人群在计算设备上接受任务而启动至少一个人反应测试。 所述方法包括从所述人群中接收针对所述至少一个人类响应测试的响应，其中所述响应是从所述计算设备发送的。 该方法包括如果响应是正确的，则将至少一个定位器传送到计算设备。 至少一个定位器使得人群可以访问服务器上的数据。

公开(公告)号：US20140188787A1

公开(公告)日：2014-07-03

申请号：US13727648

申请日：2012-12-27

Applicant: XEROX CORPORATION

Inventor： Chithralekha Balamurugan ,  Koustuv Dasgupta ,  Karnam Saraschandra ,  Shourya Roy

IPC: G06F17/30

CPC classification number: G06Q10/0631 ,  G06Q30/0629 ,  G06Q30/0631

Abstract: The disclosed embodiments relates to a crowdsourcing directory system. The crowdsourcing directory system is configured for identifying and comparing one or more of a plurality of crowdsourcing platforms based on a plurality of attributes associated with each of the plurality of crowdsourcing platforms. The crowdsourcing directory system then recommends a set of crowdsourcing platforms from the one or more crowdsourcing platforms based on values of the plurality of attributes. The crowdsourcing directory system also maintains a repository of information pertaining to the plurality of crowdsourcing platforms. In an embodiment, the repository may be updated by implementing software adaptors configured to extract various information pertaining to the plurality of crowdsourcing platforms.

Abstract translation: 所公开的实施例涉及众包目录系统。 众包目录系统被配置为基于与多个众包平台中的每一个相关联的多个属性来识别和比较多个众包平台中的一个或多个。 众包目录系统然后基于多个属性的值推荐来自一个或多个众包平台的一组众包平台。 众包目录系统还维护有关多个众包平台的信息库。 在一个实施例中，可以通过实现被配置为提取与多个众包平台有关的各种信息的软件适配器来更新存储库。

公开(公告)号：US20180218284A1

公开(公告)日：2018-08-02

申请号：US15420119

申请日：2017-01-31

Applicant: XEROX CORPORATION

Inventor： Ganesh Jawahar ,  Himanshu Sharad Bhatt ,  Manjira Sinha ,  Shourya Roy

IPC: G06N99/00 ,  G06N7/00

CPC classification number: G06N3/08 ,  G06N3/0454

Abstract: The disclosed embodiments illustrate a domain adaptation method for learning transferable feature representations from a source domain for a target domain. The method includes receiving input data comprising a plurality of labeled instances of the source domain and a plurality of unlabeled instances of the target domain. The method includes learning common representation shared between the source domain and the target domain, based on the plurality of labeled instances of the source domain. The method includes labeling one or more unlabeled instances in the plurality of unlabeled instances of the target domain, based on the common representation. The method includes determining a target specific representation corresponding to the target domain. The method includes training a target specific classifier based on the target specific representation and the common representation to perform text classification on remaining one or more unlabeled instances of the plurality of unlabeled instances of the target domain.

公开(公告)号：US20170091653A1

公开(公告)日：2017-03-30

申请号：US14864977

申请日：2015-09-25

Applicant: XEROX CORPORATION

Inventor： Sharmistha Jat ,  Anuj Mahajan ,  Shourya Roy

IPC: G06N99/00 ,  H04L29/08 ,  G06F17/30 ,  H04L12/58

Abstract: The disclosed embodiments illustrate methods and systems for predicting requirements of a user for resources. The method includes transforming a message posted by the user into a first message vector. The method further includes categorizing one or more first message vectors into one or more categories. The method further includes transforming each of the categorized first message vectors into one or more second message vectors using a wavelet transform technique. The method further includes determining, for each of the categorized first message vectors, a first score based on at least a probability distribution of one or more coefficients associated with each associated feature. The method further includes selecting a predefined number of features based on at least the first score. The method further includes training one or more classifiers on the selected predefined number of features to identify at least the one or more needs of the user.

公开(公告)号：US20160253597A1

公开(公告)日：2016-09-01

申请号：US14633550

申请日：2015-02-27

Applicant: Xerox Corporation

Inventor： Himanshu Sharad Bhatt ,  Deepali Semwal ,  Shourya Roy

IPC: G06N99/00

CPC classification number: G06N20/00

Abstract: An adaptation method includes using a first classifier trained on projected representations of labeled objects from a first domain to predict pseudo-labels for unlabeled objects in a second domain, based on their projected representations. A classifier ensemble is iteratively learned. The ensemble includes a weighted combination of the first classifier and a second classifier. This includes training the second classifier on the original representations of the unlabeled objects for which a confidence for respective pseudo-labels exceeds a threshold. A classifier ensemble is constructed as a weighted combination of the first classifier and the second classifier. Pseudo-labels are predicted for the remaining original representations of the unlabeled objects with the classifier ensemble and weights of the first and second classifiers in the classifier ensemble are adjusted. As the iterations proceed, the unlabeled objects progressively receive pseudo-labels which can be used for retraining the second classifier.

Abstract translation: 适应方法包括使用对来自第一域的标记对象的投影表示进行训练的第一分类器，以基于它们的投影表示来预测第二域中未标记对象的伪标签。 分类器集合被迭代地学习。 集合包括第一分类器和第二分类器的加权组合。 这包括对第二分类器对未标记对象的原始表示进行训练，对于相应伪标签的置信度超过阈值。 分类器集合被构造为第一分类器和第二分类器的加权组合。 对于具有分类器集合的未标记对象的剩余原始表示预测伪标签，并且对分类器集合中的第一和第二分类器的权重进行调整。 随着迭代的进行，未标记的对象逐渐接收可用于重新训练第二分类器的伪标签。

公开(公告)号：US20150287339A1

公开(公告)日：2015-10-08

申请号：US14244926

申请日：2014-04-04

Applicant: Xerox Corporation

Inventor： Om D. Deshmukh ,  Kuldeep Yadav ,  Shourya Roy

IPC: G09B19/04 ,  G10L25/48

CPC classification number: G09B19/04 ,  G10L15/26 ,  G10L25/48

Abstract: The disclosed embodiments illustrate methods and systems for imparting a spoken language training. The method includes performing a spoken language evaluation of a speech input received from a user on a first training content. Thereafter, the user is categorized based on the spoken language evaluation and a profile of the user. Further, a second training content, comprising one or more tasks, is transmitted to the user based on the categorization and the spoken language evaluation. The user interacts with another user belonging to at least the user group, by comparing a temporal progression of the user with the other user on the one or more tasks, challenging the other user on a task from the one or more tasks, and selecting the task from the one or more tasks based on a difficulty level assessed by the other user.

Abstract translation: 所公开的实施例示出了用于传授口语训练的方法和系统。 该方法包括在第一训练内容上执行从用户接收的语音输入的口语评估。 此后，基于口语评估和用户的简档对用户进行分类。 此外，基于分类和口语评估，将包括一个或多个任务的第二训练内容发送给用户。 用户通过在一个或多个任务上比较用户与其他用户的时间进度，从一个或多个任务挑战任务上的其他用户，并且选择 基于由其他用户评估的难度级别的一个或多个任务的任务。