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公开(公告)号：US20200294339A1
公开(公告)日：2020-09-17
申请号：US16809147
申请日：2020-03-04
Applicant: NEC Laboratories America, Inc.
Inventor： Kunal Rao , Giuseppe Coviello , Srimat Chakradhar , Min Feng , Murugan Sankaradas , Utsav Drolia
Abstract: Methods and systems for authentication include determining, at a first worker system, that a master system that stores a current authentication-list cannot be reached by a first network. Authentication is performed on an authentication request using a previously stored copy of the authentication-list at the first worker system. The authentication includes facial recognition that is performed on detected face images for a first time window, before receiving the authentication request, and for a second time window, after receiving the authentication request. Authentication removes matching detected face images after completing an authentication request to prevent other individuals from using a same identifier. Access is granted to a secured area responsive to the authentication.
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公开(公告)号：US20200285807A1
公开(公告)日：2020-09-10
申请号：US16787774
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: A method detects anomalies in a system having sensors for collecting multivariate sensor data including discrete event sequences. The method determines, using a NMT model, pairwise relationships among the sensors based on the data. The method forms sequences of characters into sentences on a per sensor basis, by treating each discrete variable in the sequences as a character in natural language. The method translates, using the NMT, the sentences of source sensors to sentences of target sensors to obtain a translation score that quantifies a pairwise relationship strength therebetween. The method aggregates the pairwise relationships into a multivariate relationship graph having nodes representing sensors and edges denoted by the translation score for a sensor pair connected thereto to represent the pairwise relationship strength therebetween. The method performs a corrective action to correct an anomaly responsive to a detection of the anomaly relating to the sensor pair.
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公开(公告)号：US10763989B2
公开(公告)日：2020-09-01
申请号：US16655103
申请日：2019-10-16
Applicant: NEC Laboratories America, Inc.
Inventor： Giovanni Milione , Philip Ji , Eric Cosatto
Abstract: Aspects of the present disclosure describe systems, methods and structures for classification of higher-order spatial modes using machine learning systems and methods in which the classification of high-order spatial modes emitted from a multimode optical fiber does not require indirect measurement of the complex amplitude of a light beam's electric field using interferometry or, holographic techniques via unconventional optical devices/elements, which have prohibitive cost and efficacy; classification of high-order spatial modes emitted from a multimode optical fiber is not dependent on a light beam's alignment, size, wave front (e.g. curvature, etc.), polarization, or wavelength, which has prohibitive cost and efficacy; classification of higher-order spatial modes from a multimode optical fiber does not require a prohibitive amount of experimentally generated training examples, which, in turn, has prohibitive efficacy; and the light beam from a multimode optical fiber can be advantageously separated into two orthogonal polarization components, such that, the different linear combination of higher order spatial modes comprising each polarization component can be classified.
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公开(公告)号：US10762359B2
公开(公告)日：2020-09-01
申请号：US16029167
申请日：2018-07-06
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Mohammed E. F. Salem , Muhammad Zeeshan Zia , Paul Vernaza , Manmohan Chandraker
Abstract: Systems and methods for detecting traffic scenarios include an image capturing device which captures two or more images of an area of a traffic environment with each image having a different view of vehicles and a road in the traffic environment. A hierarchical feature extractor concurrently extracts features at multiple neural network layers from each of the images, with the features including geometric features and semantic features, and for estimating correspondences between semantic features for each of the images and refining the estimated correspondences with correspondences between the geometric features of each of the images to generate refined correspondence estimates. A traffic localization module uses the refined correspondence estimates to determine locations of vehicles in the environment in three dimensions to automatically determine a traffic scenario according to the locations of vehicles. A notification device generates a notification of the traffic scenario.
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公开(公告)号：US20200265466A1
公开(公告)日：2020-08-20
申请号：US16787657
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen
Abstract: A system is provided for interpretable viewing interest. A transformer with multi-head self-attention derives different hierarchical orders of input features. Hierarchical attention layers (i) aggregate the different hierarchical orders to obtain aggregated single-order feature representations and (iii) derive aggregation attention weights for the different hierarchical orders based on an applied order of the hierarchical attention layers. An attentional scoring layer evaluates the aggregated representations to output a significance of each order with respect to various CTR predictions. A hierarchical interpretation layer determines a respective importance of each input feature in various combinations from which the various CTR predictions are derived based on the aggregation attention weights and the significance of each order. A display device displays each of the various combinations for the various CTR predictions along with the respective importance of each of the constituent one of the input features in the various input feature combinations.
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Patent Agency Ranking
公开(公告)号：US20200250304A1
公开(公告)日：2020-08-06
申请号：US16778213
申请日：2020-01-31
Applicant: NEC Laboratories America, Inc.
Inventor： Erik Kruus , Renqiang Min , Yao Li
Abstract: Systems and methods for detecting adversarial examples are provided. The method includes generating encoder direct output by projecting, via an encoder, input data items to a low-dimensional embedding vector of reduced dimensionality with respect to the one or more input data items to form a low-dimensional embedding space. The method includes regularizing the low-dimensional embedding space via a training procedure such that the input data items produce embedding space vectors whose global distribution is expected to follow a simple prior distribution. The method also includes identifying whether each of the input data items is an adversarial or unnatural input. The method further includes classifying, during the training procedure, those input data items which have not been identified as adversarial or unnatural into one of multiple classes.
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公开(公告)号：US10733149B2
公开(公告)日：2020-08-04
申请号：US15979512
申请日：2018-05-15
Applicant: NEC Laboratories America, Inc.
Inventor： Ding Li , Kangkook Jee , Zhichun Li , Mu Zhang , Zhenyu Wu
IPC: G06F17/00 , G06F7/00 , G06F16/174 , G06F3/06 , G06K9/62 , G06F16/25 , G06F16/22 , G06F16/2455 , G06F21/62 , G06F16/901 , G06F21/55
Abstract: Systems and methods for data reduction including organizing data of an event stream into a file access table concurrently with receiving the event stream, the data including independent features and dependent features. A frequent pattern tree (FP-Tree) is built including nodes corresponding to the dependent features according to a frequency of occurrence of the dependent features relative to the independent features. Each single path in the FP-Tree is merged into a special node corresponding to segments of dependent features to produce a reduced FP-Tree. All path combinations in the reduced FP-Tree are identified. A compressible file access template (CFAT) is generated corresponding to each of the path combinations. The data of the event stream is compressed with the CFATs to reduce the dependent features to special events representing the dependent features.
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公开(公告)号：US20200226331A1
公开(公告)日：2020-07-16
申请号：US16565770
申请日：2019-09-10
Applicant: NEC Laboratories America, Inc.
Inventor： Mohammad Khojastepour , Mustafa Arslan , Sampath Rangarajan
Abstract: Systems and methods for implementing a radio frequency identifier (RFID) system are provided. The methods include transmitting a radio frequency (RF) signal, by an RFID interrogator with multiple antennas. The methods include receiving a superimposed received signal. The superimposed received signal includes replies from a first RFID tag and a second RFID tag that are overlapping in time. The methods also include separating the replies from the first RFID tag and second RFID tag though spatial processing of the superimposed received signal.
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199.发明授权公开(公告)号：US10706310B2
公开(公告)日：2020-07-07
申请号：US15420518
申请日：2017-01-31
Applicant: NEC Laboratories America, Inc.
Inventor： Bing Bai
Abstract: A camera device and camera system for video-based workplace safety is provided. The camera device includes at least one imaging sensor configured to capture one or more video sequences in a workplace environment having a plurality of machines therein. The video camera further includes a processor. The processor is configured to generate a plurality of embedding vectors based on a plurality of observations. The observations include (i) a subject, (ii) an action taken by the subject, and (iii) an object on which the subject is taking the action on. The subject and object are constant. The processor is further configured to generate predictions of one or more future events based on one or more comparisons of at least some of the plurality of embedding vectors. The processor is configured to generate a signal for initiating an action to the at least one of the plurality of machines to mitigate harm.
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200.发明授权公开(公告)号：US10679075B2
公开(公告)日：2020-06-09
申请号：US16029126
申请日：2018-07-06
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Mohammed E. F. Salem , Muhammad Zeeshan Zia , Paul Vernaza , Manmohan Chandraker
Abstract: Systems and methods for correspondence estimation and flexible ground modeling include communicating two-dimensional (2D) images of an environment to a correspondence estimation module, including a first image and a second image captured by an image capturing device. First features, including geometric features and semantic features, are hierarchically extract from the first image with a first convolutional neural network (CNN) according to activation map weights, and second features, including geometric features and semantic features, are hierarchically extracted from the second image with a second CNN according to the activation map weights. Correspondences between the first features and the second features are estimated, including hierarchical fusing of geometric correspondences and semantic correspondences. A 3-dimensional (3D) model of a terrain is estimated using the estimated correspondences belonging to the terrain surface. Relative locations of elements and objects in the environment are determined according to the 3D model of the terrain. A user is notified of the relative locations.
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