Patents by Inventor Suhrid BALAKRISHNAN
Suhrid BALAKRISHNAN 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: 10284893Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: GrantFiled: July 10, 2017Date of Patent: May 7, 2019Assignee: AT&T Intellectual Property I, L.P.Inventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Patent number: 10193900Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify candidate boundaries of Internet protocol addresses associated with a malicious Internet protocol address. An example method includes collecting, with a processor, netflow data associated with the Internet protocol addresses within a netblock having a lower boundary Internet protocol address and an upper boundary Internet protocol address, generating, with the processor, a first window of Internet protocol addresses numerically lower than the malicious Internet protocol address, generating, with the processor, a second window of Internet protocol addresses numerically higher than the malicious Internet protocol address, for respective Internet protocol addresses in the first and second windows, calculating, with the processor, occurrence counts associated with behavior features, and identifying candidate boundaries within the netblock based on divergence values caused by the behavior features.Type: GrantFiled: July 7, 2015Date of Patent: January 29, 2019Assignee: AT&T INTELLECTUAL PROPERTY I., L.P.Inventors: Baris Coskun, Suhrid Balakrishnan, Suhas Mathur
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Publication number: 20170311020Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: ApplicationFiled: July 10, 2017Publication date: October 26, 2017Inventors: Suhrid Balakrishnan, DAVID LEE APPLEGATE, SUMIT CHOPRA, SIMON URBANEK
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Publication number: 20170249935Abstract: Disclosed herein are systems, methods, and computer-readable storage media for estimating reliability of alternate speech recognition hypotheses. A system configured to practice the method receives an N-best list of speech recognition hypotheses and features describing the N-best list, determines a first probability of correctness for each hypothesis in the N-best list based on the received features, determines a second probability that the N-best list does not contain a correct hypothesis, and uses the first probability and the second probability in a spoken dialog. The features can describe properties of at least one of a lattice, a word confusion network, and a garbage model. In one aspect, the N-best lists are not reordered according to reranking scores. The determination of the first probability of correctness can include a first stage of training a probabilistic model and a second stage of distributing mass over items in a tail of the N-best list.Type: ApplicationFiled: May 15, 2017Publication date: August 31, 2017Inventors: Jason Williams, Suhrid BALAKRISHNAN
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Patent number: 9736519Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: GrantFiled: July 22, 2015Date of Patent: August 15, 2017Assignee: AT&T Intellectual Property I, L.P.Inventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Publication number: 20170178006Abstract: Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.Type: ApplicationFiled: January 4, 2017Publication date: June 22, 2017Inventors: Suhrid Balakrishnan, Sumit Chopra
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Patent number: 9653066Abstract: Disclosed herein are systems, methods, and computer-readable storage media for estimating reliability of alternate speech recognition hypotheses. A system configured to practice the method receives an N-best list of speech recognition hypotheses and features describing the N-best list, determines a first probability of correctness for each hypothesis in the N-best list based on the received features, determines a second probability that the N-best list does not contain a correct hypothesis, and uses the first probability and the second probability in a spoken dialog. The features can describe properties of at least one of a lattice, a word confusion network, and a garbage model. In one aspect, the N-best lists are not reordered according to reranking scores. The determination of the first probability of correctness can include a first stage of training a probabilistic model and a second stage of distributing mass over items in a tail of the N-best list.Type: GrantFiled: October 23, 2009Date of Patent: May 16, 2017Assignee: Nuance Communications, Inc.Inventors: Jason Williams, Suhrid Balakrishnan
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Patent number: 9576247Abstract: Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.Type: GrantFiled: October 12, 2013Date of Patent: February 21, 2017Assignee: LinkedIn CorporationInventors: Suhrid Balakrishnan, Sumit Chopra
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Publication number: 20150326905Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: ApplicationFiled: July 22, 2015Publication date: November 12, 2015Inventors: Suhrid Balakrishnan, DAVID LEE APPLEGATE, SUMIT CHOPRA, SIMON URBANEK
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Publication number: 20150312269Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify candidate boundaries of Internet protocol addresses associated with a malicious Internet protocol address. An example method includes collecting, with a processor, netflow data associated with the Internet protocol addresses within a netblock having a lower boundary Internet protocol address and an upper boundary Internet protocol address, generating, with the processor, a first window of Internet protocol addresses numerically lower than the malicious Internet protocol address, generating, with the processor, a second window of Internet protocol addresses numerically higher than the malicious Internet protocol address, for respective Internet protocol addresses in the first and second windows, calculating, with the processor, occurrence counts associated with behavior features, and identifying candidate boundaries within the netblock based on divergence values caused by the behavior features.Type: ApplicationFiled: July 7, 2015Publication date: October 29, 2015Inventors: Baris Coskun, Suhrid Balakrishnan, Suhas Mathur
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Patent number: 9118963Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: GrantFiled: June 3, 2014Date of Patent: August 25, 2015Assignee: AT&T INTELLECTUAL PROPERTY I, LPInventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Patent number: 9092425Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting probabilities of words for a language model. An exemplary system configured to practice the method receives a sequence of words and external data associated with the sequence of words and maps the sequence of words to an X-dimensional vector, corresponding to a vocabulary size. Then the system processes each X-dimensional vector, based on the external data, to generate respective Y-dimensional vectors, wherein each Y-dimensional vector represents a dense continuous space, and outputs at least one next word predicted to follow the sequence of words based on the respective Y-dimensional vectors. The X-dimensional vector, which is a binary sparse representation, can be higher dimensional than the Y-dimensional vector, which is a dense continuous space.Type: GrantFiled: December 8, 2010Date of Patent: July 28, 2015Assignee: AT&T Intellectual Property I, L.P.Inventors: Piotr Wojciech Mirowski, Srinivas Bangalore, Suhrid Balakrishnan, Sumit Chopra
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Patent number: 9083730Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify an Internet protocol address blacklist boundary. An example method includes identifying a netblock associated with a malicious Internet protocol address, the netblock having a lower boundary and an upper boundary, collecting netflow data associated with a plurality of Internet protocol addresses in the netblock, establishing a first window associated with a lower portion of Internet protocol addresses numerically lower than a candidate Internet protocol address, establishing a second window associated with an upper portion of Internet protocol addresses numerically higher than a candidate Internet protocol address, calculating a breakpoint score based on a comparison between a behavioral profile of the first window and a behavioral profile of the second window, and identifying a first sub-netblock when the breakpoint score exceeds a threshold value.Type: GrantFiled: December 6, 2013Date of Patent: July 14, 2015Assignee: AT&T Intellectual Property I., L.P.Inventors: Baris Coskun, Suhrid Balakrishnan, Suhas Mathur
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Publication number: 20150163235Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify an Internet protocol address blacklist boundary. An example method includes identifying a netblock associated with a malicious Internet protocol address, the netblock having a lower boundary and an upper boundary, collecting netflow data associated with a plurality of Internet protocol addresses in the netblock, establishing a first window associated with a lower portion of Internet protocol addresses numerically lower than a candidate Internet protocol address, establishing a second window associated with an upper portion of Internet protocol addresses numerically higher than a candidate Internet protocol address, calculating a breakpoint score based on a comparison between a behavioral profile of the first window and a behavioral profile of the second window, and identifying a first sub-netblock when the breakpoint score exceeds a threshold value.Type: ApplicationFiled: December 6, 2013Publication date: June 11, 2015Applicant: AT&T Intellectual Property I, L.P.Inventors: Baris Coskun, Suhrid Balakrishnan, Suhas Mathur
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Publication number: 20150007209Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: ApplicationFiled: June 3, 2014Publication date: January 1, 2015Applicant: AT&T Intellectual Property I, LPInventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Patent number: 8782683Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: GrantFiled: October 12, 2012Date of Patent: July 15, 2014Assignee: AT&T Intellectual Property I, LPInventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Publication number: 20140109123Abstract: A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.Type: ApplicationFiled: October 12, 2012Publication date: April 17, 2014Applicant: AT&T Intellectual Property I, LPInventors: Suhrid Balakrishnan, David Lee Applegate, Sumit Chopra, Simon Urbanek
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Publication number: 20140098141Abstract: Data entry using a software keyboard such as a touchscreen keyboard is secured by varying key sizes in the keyboard from key to key and from software keyboard configuration to software keyboard configuration, decoupling display locations from keys. Multiple software keyboard configurations are generated, each having different sets of key sizes. The keyboard configuration may be changed with each keystroke, or may be changed for each prompted entry including multiple keystrokes.Type: ApplicationFiled: October 10, 2012Publication date: April 10, 2014Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.Inventors: Subhabrata Sen, Suhrid Balakrishnan, Emiliano Miluzzo, Alexander Varshavsky
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Patent number: 8682677Abstract: Disclosed herein are systems, methods, and computer-readable storage media for automatically generating a dialog manager for use in a spoken dialog system. A system practicing the method receives a set of user interactions having features, identifies an initial policy, evaluates all of the features in a linear evaluation step of the algorithm to identify a set of most important features, performs a cubic policy improvement step on the identified set of most important features, repeats the previous two steps one or more times, and generates a dialog manager for use in a spoken dialog system based on the resulting policy and/or set of most important features. Evaluating all of the features can include estimating a weight for each feature which indicates how much each feature contributes to at least one of the identified policies. The system can ignore features not in the set of most important features.Type: GrantFiled: April 30, 2013Date of Patent: March 25, 2014Assignee: AT&T Intellectual Property I, L.P.Inventors: Jason William, Suhrid Balakrishnan, Lihong Li
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Publication number: 20140040176Abstract: Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.Type: ApplicationFiled: October 12, 2013Publication date: February 6, 2014Applicant: AT&T Intellectual Property I, L.P.Inventors: Suhrid Balakrishnan, Sumit Chopra