Patents by Inventor Joshua Alspector
Joshua Alspector has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9773160Abstract: Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.Type: GrantFiled: October 23, 2013Date of Patent: September 26, 2017Assignees: AOL Inc., California Institute of Technology, Isis Innovation LimitedInventors: Keren O Perlmutter, Sharon M Perlmutter, Joshua Alspector, Mark Everingham, Alex Holub, Andrew Zisserman, Pietro Perona
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Publication number: 20160156577Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data fro the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: ApplicationFiled: February 3, 2016Publication date: June 2, 2016Inventors: Joshua ALSPECTOR, Aleksander KOLCZ
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Patent number: 9270625Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: GrantFiled: August 5, 2014Date of Patent: February 23, 2016Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 9171070Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: GrantFiled: September 13, 2012Date of Patent: October 27, 2015Assignee: FACEBOOK, INC.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Patent number: 9141878Abstract: Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.Type: GrantFiled: August 29, 2013Date of Patent: September 22, 2015Assignees: AOL Inc., California Institute of Technology, Isis Innovation LimitedInventors: Sharon M Perlmutter, Keren O Perlmutter, Joshua Alspector, Alex Holub, Mark Everingham, Pietro Perona, Andrew Zisserman
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Publication number: 20140344387Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be a determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: ApplicationFiled: August 5, 2014Publication date: November 20, 2014Inventors: Joshua ALSPECTOR, Aleksander KOLCZ
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Patent number: 8799387Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails.Type: GrantFiled: July 3, 2012Date of Patent: August 5, 2014Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 8768940Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: GrantFiled: September 13, 2012Date of Patent: July 1, 2014Assignee: Facebook, Inc.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Patent number: 8713014Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: GrantFiled: May 14, 2010Date of Patent: April 29, 2014Assignee: Facebook, Inc.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Publication number: 20140050374Abstract: Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.Type: ApplicationFiled: October 23, 2013Publication date: February 20, 2014Applicant: AOL Inc.Inventors: Keren O. Perlmutter, Sharon M. Perlmutter, Joshua Alspector, Mark Everingham, Alex Holub, Andrew Zisserman, Pietro Perona
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Patent number: 8626758Abstract: Systems and methods are provided for ranking documents. In accordance with certain implementations, a user selects one or more documents for viewing from a set of documents. Documents selected by the user for viewing within a predetermined time period are maintained in a profile associated with the user. At least one positive word vector is generated using words contained in at least a segment of at least one of the documents stored in the profile. At least one negative word vector is generated using words contained in at least a segment of at least one of the documents that was not selected by the user for viewing. Document word vectors are generated for documents to be ranked. A vector space relationship analysis of the positive word vector, the negative word vector, and the document word vectors is performed. The documents are ranked based on the performed vector space relationship analysis.Type: GrantFiled: November 4, 2011Date of Patent: January 7, 2014Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 8542888Abstract: Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.Type: GrantFiled: July 16, 2012Date of Patent: September 24, 2013Assignee: AOL Inc.Inventors: Sharon M. Perlmutter, Keren O. Perlmutter, Joshua Alspector, Alex Holub, Mark Everingham, Pietro Perona, Andrew Zisserman
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Patent number: 8504627Abstract: An e-mail filter is used to classify received e-mails so that some of the classes may be filtered, blocked, or marked. The e-mail filter may include a classifier that can classify an e-mail as belonging to a particular class and an e-mail grouper that can detect substantially similar, but possibly not identical, e-mails. The e-mail grouper determines groups of substantially similar e-mails in an incoming e-mail stream. For each group, the classifier determines whether one or more test e-mails from the group belongs to the particular class. The classifier then designates the class to which the other e-mails in the group belong based on the results for the test e-mails.Type: GrantFiled: April 5, 2010Date of Patent: August 6, 2013Assignee: Bright Sun TechnologiesInventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130173518Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: ApplicationFiled: September 15, 2012Publication date: July 4, 2013Applicant: Facebook, Inc.Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130173563Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: ApplicationFiled: September 15, 2012Publication date: July 4, 2013Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130173562Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: ApplicationFiled: September 13, 2012Publication date: July 4, 2013Inventors: Joshua ALSPECTOR, Aleksander KOLCZ, Abdur R. CHOWDHURY
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Patent number: 8429178Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: GrantFiled: July 18, 2011Date of Patent: April 23, 2013Assignee: Facebook, Inc.Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130028522Abstract: Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.Type: ApplicationFiled: June 4, 2012Publication date: January 31, 2013Inventors: Keren O. Perlmutter, Sharon M. Perlmutter, Joshua Alspector, Mark Everingham, Alex Holub, Andrew Zisserman, Pietro Perona
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Publication number: 20130007152Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails.Type: ApplicationFiled: July 3, 2012Publication date: January 3, 2013Inventors: Joshua Alspector, Aleksander Kolcz
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Publication number: 20130007026Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: ApplicationFiled: September 13, 2012Publication date: January 3, 2013Inventors: Joshua ALSPECTOR, Aleksander KOLCZ, Abdur R. CHOWDHURY