Patents by Inventor Vikas C. Raykar
Vikas C. Raykar 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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Publication number: 20200311750Abstract: Methods, systems, and computer program products for demand sensing for product and design introductions are provided herein. A computer-implemented method includes receiving a query comprising information pertaining to an enterprise offering; determining a given number of similar past enterprise offerings based on a comparison of the enterprise offering against a collection of past enterprise offerings and user reviews of the past enterprise offerings; extracting multiple features from the given number of similar past enterprise offerings; generating, for each of the extracted features, a feature-based demand score based on analysis of the user reviews of the given number of similar past enterprise offerings; determining demand for the enterprise offering by aggregating the feature-based demand scores with similarity scores attributed to the enterprise offering with respect to the given number of similar past enterprise offerings; and outputting the demand for the enterprise offering to an enterprise user.Type: ApplicationFiled: March 29, 2019Publication date: October 1, 2020Inventors: Akshay Gugnani, Vikas C. Raykar, Amith Singhee, Vijay Ekambaram, Surya Shravan Kumar Sajja
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Publication number: 20200311480Abstract: A neural network based search system is provided. A first digital image is analyzed by a user device. A targeted object in the first digital image is determined based, at least in part, on (i) the characteristics of the first digital image and (ii) the features of the targeted object. A vector array is generated based, at least in part, on (i) the first digital image and (ii) the targeted object. The vector array is analyzed by the user device. The targeted object is determined based, at least in part, by the vector array. A plurality of digital images is identified based, at least in part, on the similarity of the plurality of digital images and (i) the first digital image and (ii) the targeted object responsive to identifying a plurality of digital images, a query processing is generated. The query map is generated on a user device.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Ashok Pon Kumar Sree Prakash, Ayushi Dalmia, Amith Singhee, Digbalay Bose, Sumanta Mukherjee, Raghavendra Singh, Vikas C. Raykar
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Publication number: 20190318406Abstract: Methods, systems, and computer program products in connection with a system for bidding on multi-modal sub-spaces for e-commerce searches is provided herein. A computer-implemented method includes representing, in an embedding space affiliated with at least one electronic commerce website: (i) images related to one or more bids and (ii) items of text related to the one or more bids, the images and the items of text both coming from one or more bidding entities. Such a method also includes mapping a query to the embedding space based on a comparison of features of the query to (i) the images and (ii) the items of text. Further, such a method additionally includes selecting at least one of the one or more bidding entities based on the mapping, and outputting, to at least one user in response to the query, search results associated with the at least one selected bidding entity.Type: ApplicationFiled: April 17, 2018Publication date: October 17, 2019Inventors: Priyanka Agrawal, Ayushi Dalmia, Jaikrishnan Hari, Sachindra Joshi, Vikas C. Raykar, Raghavendra Singh
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Publication number: 20190172075Abstract: Input from a user is received about a product of interest to the user. A plurality of sources that monitor product trends is determined. The plurality of sources is ranked. A plurality of key concepts associated with the product of interest are extracted from the ranked sources. Relationships are extracted from the key concepts. A plurality of triples between the key concepts and the relationships are created. Each triple in the plurality of triples is weighted based on the ranking of the sources.Type: ApplicationFiled: December 1, 2017Publication date: June 6, 2019Inventors: Sreyash D. Kenkre, Indrajit Bhattacharya, Vikas C. Raykar, VINAYAKA PANDIT
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Publication number: 20190164217Abstract: A computer scans user data for upcoming events and identifies a potential gift giving event from these events using contextual information about the events to determine the events' nature. The computer identifies a plurality of event attendees and analyzes information about two or more of the event attendees. The computer groups a plurality of people into a group of potential gift collaborators, wherein the plurality of people is chosen from the plurality of attendees. The computer generates a first potential gift list. The computer analyzes gift giving abilities of the group members and selects, based partially upon the analysis, a gift giver. The computer generates a second potential gift list with detailed information about one or more potential gifts wherein the gifts are based partially on the first potential gift list. The computer provides at least a portion of the second potential gift list to the selected gift giver.Type: ApplicationFiled: November 29, 2017Publication date: May 30, 2019Inventors: Priyanka Agrawal, Pankaj S. Dayama, Amrita Saha, Srikanth G. Tamilselvam, Vikas C. Raykar
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Patent number: 9336457Abstract: Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.Type: GrantFiled: December 4, 2013Date of Patent: May 10, 2016Assignee: Siemens Medical Solutions USA, Inc.Inventors: Vikas C. Raykar, Yiqiang Zhan, Maneesh Dewan, Gerardo Hermosillo Valadez, Zhigang Peng, Xiang Sean Zhou
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Patent number: 8885898Abstract: Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.Type: GrantFiled: October 6, 2011Date of Patent: November 11, 2014Assignee: Siemens Medical Solutions USA, Inc.Inventors: Meizhu Liu, Le Lu, Vikas C. Raykar, Marcos Salganicoff, Matthias Wolf
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Publication number: 20140161337Abstract: Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.Type: ApplicationFiled: December 4, 2013Publication date: June 12, 2014Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Vikas C. Raykar, Yiqiang Zhan, Maneesh Dewan, Gerardo Hermosillo Valadez, Zhigang Peng, Xiang Sean Zhou
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Publication number: 20120088981Abstract: Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.Type: ApplicationFiled: October 6, 2011Publication date: April 12, 2012Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.Inventors: Meizhu Liu, Le Lu, Vikas C. Raykar, Marcos Salganicoff, Matthias Wolf
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Patent number: 8131039Abstract: A method for training a classifier for classifying candidate regions in computer aided diagnosis of digital medical images includes providing a training set of images, each image including one or more candidate regions that have been identified as suspicious by a computer aided diagnosis system. Each image has been manually annotated to identify malignant regions. Multiple instance learning is applied to train a classifier to classify suspicious regions in a new image as malignant or benign by identifying those candidate regions that overlap a same identified malignant region, grouping each candidate region that overlaps the same identified malignant region into a same bag, and maximizing a probability P = ? i = 1 N ? p i y i ? ( 1 - p i ) 1 - y i , wherein N is a number of bags, pi is a probability of bag i containing a candidate region that overlaps with an identified malignant region, and yi is a label where a value of 1 indicates malignancy and 0 otherwise.Type: GrantFiled: September 26, 2008Date of Patent: March 6, 2012Assignee: Siemens Medical Solutions USA, Inc.Inventors: Balaji Krishnapuram, Vikas C. Raykar, Murat Dundar, R. Bharat Rao
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Publication number: 20090080731Abstract: A method for training a classifier for classifying candidate regions in computer aided diagnosis of digital medical images includes providing a training set of images, each image including one or more candidate regions that have been identified as suspicious by a computer aided diagnosis system. Each image has been manually annotated to identify malignant regions. Multiple instance learning is applied to train a classifier to classify suspicious regions in a new image as malignant or benign by identifying those candidate regions that overlap a same identified malignant region, grouping each candidate region that overlaps the same identified malignant region into a same bag, and maximizing a probability P = ? i = 1 N ? p i y i ? ( 1 - p i ) 1 - y i , wherein N is a number of bags, pi is a probability of bag i containing a candidate region that overlaps with an identified malignant region, and yi is a label where a value of 1 indicates malignancy and 0 otherwise.Type: ApplicationFiled: September 26, 2008Publication date: March 26, 2009Applicant: Siemens Medical Solutions USA, Inc.Inventors: Balaji Krishnapuram, Vikas C. Raykar, Murat Dundar, R. Bharat Rao
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Patent number: 7035757Abstract: A first computing device transmitting a wireless signal to a second and third computing devices, the signal requesting an actuator of the second computing device generate an acoustic signal to be received by a sensor of the third computing device, wherein the actuator and sensor are unsynchronized. The first computing device computes, based on an time estimate for the acoustic signal to travel from the actuator of the second computing device to the sensor of the third computing device, a physical location of the actuator of the second computing device and the sensor of the third computing device.Type: GrantFiled: May 9, 2003Date of Patent: April 25, 2006Assignee: Intel CorporationInventors: Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart
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Patent number: 6941246Abstract: A method, machine readable medium, and system are disclosed. In one embodiment the method comprises generating an acoustic signal from an actuator of a first computing device, receiving the acoustic signal with a sensor of a second computing device, receiving the acoustic signal with a sensor of a third computing device, generating an estimate of a difference between the amount of time required for the acoustic signal to travel from the actuator of the first computing device to the sensor of the second computing device and the amount of time required for the acoustic signal to travel from the actuator of the first computing device to the sensor of the third computing device, wherein the sensors and actuator are unsynchronized, and computing, based on the estimated difference in time, a physical location of at least one of the said sensors and actuator.Type: GrantFiled: September 18, 2003Date of Patent: September 6, 2005Assignee: Intel CorporationInventors: Vikas C. Raykar, Rainer W. Lienhart, Igor V. Kozintsev
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Publication number: 20040225470Abstract: A first computing device transmitting a wireless signal to a second and third computing devices, the signal requesting an actuator of the second computing device generate an acoustic signal to be received by a sensor of the third computing device, wherein the actuator and sensor are unsynchronized. The first computing device computes, based on an time estimate for the acoustic signal to travel from the actuator of the second computing device to the sensor of the third computing device, a physical location of the actuator of the second computing device and the sensor of the third computing device.Type: ApplicationFiled: May 9, 2003Publication date: November 11, 2004Inventors: Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart
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Patent number: RE44737Abstract: A first computing device transmitting a wireless signal to a second and third computing devices, the signal requesting an actuator of the second computing device generate an acoustic signal to be received by a sensor of the third computing device, wherein the actuator and sensor are unsynchronized. The first computing device computes, based on an time estimate for the acoustic signal to travel from the actuator of the second computing device to the sensor of the third computing device, a physical location of the actuator of the second computing device and the sensor of the third computing device.Type: GrantFiled: April 25, 2008Date of Patent: January 28, 2014Assignee: Marvell World Trade Ltd.Inventors: Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart