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公开(公告)号：US20220319156A1
公开(公告)日：2022-10-06
申请号：US17711667
申请日：2022-04-01
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Eric Cosatto
IPC: G06V10/774 , G06V10/778 , G06V10/82
Abstract: Systems and methods for labelling data is provided. The method includes receiving data at a detector, and identifying a set of objects and features in the data using a neural network. The method further includes annotating the data based on the identified set of objects and features, and receiving a query from a user. The method further includes transforming the query into a representation that can be processed by a symbolic engine, and receiving the annotated data and a transformed query at the symbolic engine. The method further includes matching the transformed query with the annotated data, and presenting the annotated data that matches the transformed query to the user in a labelling interface. The method further includes applying new labels received from the user for the annotated data that matches the transformed query, recursively utilizing the newly annotated data to refine the detector.
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公开(公告)号：US11087452B2
公开(公告)日：2021-08-10
申请号：US16248897
申请日：2019-01-16
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Renqiang Min , Eric Cosatto , Farley Lai , Hans Peter Graf , Xavier Fontaine
Abstract: A false alarm reduction system and method are provided for reducing false alarms in an automatic defect detection system. The false alarm reduction system includes a defect detection system, generating a list of image boxes marking detected potential defects in an input image. The false alarm reduction system further includes a feature extractor, transforming each of the image boxes in the list into a respective set of numerical features. The false alarm reduction system also includes a classifier, computing as a classification outcome for the each of the image boxes whether the detected potential defect is a true defect or a false alarm responsive to the respective set of numerical features for each of the image boxes.
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公开(公告)号：US10733722B2
公开(公告)日：2020-08-04
申请号：US15983342
申请日：2018-05-18
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Eric Cosatto , Felix Wu
IPC: G06T7/00 , H04N19/132 , H04N19/17 , G16H50/70 , G16H50/20 , G06T11/20 , G16H20/30 , G16H30/40 , G06T11/00
Abstract: Systems and methods for detecting and correcting defective products include capturing at least one image of a product with at least one image sensor to generate an original image of the product. An encoder encodes portions of an image extracted from the original image to generate feature space vectors. A decoder decodes the feature space vectors to reconstruct the portions of the image into reconstructed portions by predicting defect-free structural features in each of the portions according to hidden layers trained to predict defect-free products. Each of the reconstructed portions are merged into a reconstructed image of a defect-free representation of the product. The reconstructed image is communicated to a contrastor to detect anomalies indicating defects in the product.
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公开(公告)号：US20190197236A1
公开(公告)日：2019-06-27
申请号：US16218976
申请日：2018-12-13
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Eric Cosatto , Xavier Fontaine
CPC classification number: G06F21/552 , G06F21/554 , G06F2221/034 , G06K9/6256 , G06N3/02 , G06N5/003 , H04L63/1425 , H04L63/1441
Abstract: Methods and systems for detecting and correcting anomalies include predicting normal behavior of a monitored system based on training data that includes only sensor data collected during normal behavior of the monitored system. The predicted normal behavior is compared to recent sensor data to determine that the monitored system is behaving abnormally. A corrective action is performed responsive to the abnormal behavior to correct the abnormal behavior.
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公开(公告)号：US20140101078A1
公开(公告)日：2014-04-10
申请号：US14049891
申请日：2013-10-09
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Diane Oyen
IPC: G06N99/00
CPC classification number: G06N99/005 , G06F19/12 , G06F19/20 , G06F19/26 , G06N7/005
Abstract: Methods and systems for displaying dependencies within data and illustrating differences between a plurality of data sets are disclosed. In accordance with one such method, a plurality of data sets are received for the generation of a plurality of dependency networks in accordance with a graphical modeling scheme. The method further includes receiving a selection of a value of a parameter that adjusts a number of differences between the dependency networks in accordance with the graphical modeling scheme. In addition, at least one version of the dependency networks is generated based on the selected value of the parameter. Further, the one or more versions of the dependency networks is output to permit a user to analyze distinctions between the dependency networks.
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Patent Agency Ranking
公开(公告)号：US20240161902A1
公开(公告)日：2024-05-16
申请号：US18505761
申请日：2023-11-09
Applicant: NEC Laboratories America, Inc.
Inventor： Deep Patel , Alexandru Niculescu-Mizil , Iain Melvin , Seonghyeon Moon
CPC classification number: G16H20/30 , G06T7/292 , G16H50/20 , G06T2207/10016 , G06T2207/30196
Abstract: Methods and systems for tracking movement include performing person detection in frames from multiple video streams to identify detection images. Visual and location information from the detection images are combined to generate scores for pairs of detection images across the multiple video streams and across frames of respective video streams. A pairwise detection graph is generated using the detection images as nodes and the scores as weighted edges. A current view of the multiple video streams is changed to a next view of the multiple video streams, responsive to a determination that a score between consecutive frames of the view is below a threshold value and that a score between coincident frames of the current view and the next view is above the threshold value.
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公开(公告)号：US11494377B2
公开(公告)日：2022-11-08
申请号：US16819947
申请日：2020-03-16
Applicant: NEC Laboratories America, Inc.
Inventor： Eric Cosatto , Alexandru Niculescu-Mizil
IPC: G06F16/2452 , G06F16/242 , G06F16/901 , G06F16/2453 , G06F16/73 , G06F40/205 , G06F40/30 , G06N7/00 , G06N20/00
Abstract: Systems and methods for solving queries on image data are provided. The system includes a processor device coupled to a memory device. The system includes a detector manager with a detector application programming interface (API) to allow external detectors to be inserted into the system by exposing capabilities of the external detectors and providing a predetermined way to execute the external detectors. An ontology manager exposes knowledge bases regarding ontologies to a reasoning engine. A query parser transforms a natural query into query directed acyclic graph (DAG). The system includes a reasoning engine that uses the query DAG, the ontology manager and the detector API to plan an execution list of detectors. The reasoning engine uses the query DAG, a scene representation DAG produced by the external detectors and the ontology manager to answer the natural query.
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公开(公告)号：US11120127B2
公开(公告)日：2021-09-14
申请号：US16218976
申请日：2018-12-13
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Eric Cosatto , Xavier Fontaine
Abstract: Methods and systems for detecting and correcting anomalies include predicting normal behavior of a monitored system based on training data that includes only sensor data collected during normal behavior of the monitored system. The predicted normal behavior is compared to recent sensor data to determine that the monitored system is behaving abnormally. A corrective action is performed responsive to the abnormal behavior to correct the abnormal behavior.
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公开(公告)号：US20210103768A1
公开(公告)日：2021-04-08
申请号：US17064058
申请日：2020-10-06
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Shuchu Han
IPC: G06K9/62 , G06N7/00 , G06F9/4401
Abstract: Methods and systems for detecting and correcting anomalies include detecting an anomaly in a cyber-physical system, based on a classification of time series information from sensors that monitor the cyber-physical system as being anomalous. A similarity graph is determined for each of the sensors, based on the time series information. A subset of the sensors that are related to the classification is selected, based on a spectral embedding of the similarity graphs. A corrective action is performed responsive to the detected anomaly, prioritized according to the selected subset.
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公开(公告)号：US10853937B2
公开(公告)日：2020-12-01
申请号：US16248955
申请日：2019-01-16
Applicant: NEC Laboratories America, Inc.
Inventor： Alexandru Niculescu-Mizil , Renqiang Min , Eric Cosatto , Farley Lai , Hans Peter Graf , Xavier Fontaine
Abstract: A false alarm reduction system is provided that includes a processor cropping each input image at randomly chosen positions to form cropped images of a same size at different scales in different contexts. The system further includes a CONDA-GMM, having a first and a second conditional deep autoencoder for respectively (i) taking each cropped image without a respective center block as input for measuring a discrepancy between a reconstructed and a target center block, and (ii) taking an entirety of cropped images with the target center block. The CONDA-GMM constructs density estimates based on reconstruction error features and low-dimensional embedding representations derived from image encodings. The processor determines an anomaly existence based on a prediction of a likelihood of the anomaly existing in a framework of a CGMM, given the context being a representation of the cropped image with the center block removed and having a discrepancy above a threshold.
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