公开(公告)号：US10678257B2

公开(公告)日：2020-06-09

申请号：US16146202

申请日：2018-09-28

Applicant: NEC Laboratories America, Inc.

Inventor： Samuel Schulter ,  Paul Vernaza ,  Manmohan Chandraker ,  Menghua Zhai

IPC: G05D1/02 ,  G05D1/00 ,  G06T17/05 ,  G06T7/194 ,  G06T7/514 ,  G06T7/50 ,  G06K9/00 ,  G06T15/20 ,  G06T7/11 ,  G06T3/00 ,  G06T15/40

Abstract: Systems and methods for generating an occlusion-aware bird's eye view map of a road scene include identifying foreground objects and background objects in an input image to extract foreground features and background features corresponding to the foreground objects and the background objects, respectively. The foreground objects are masked from the input image with a mask. Occluded objects and depths of the occluded objects are inferred by predicting semantic features and depths in masked areas of the masked image according to contextual information related to the background features visible in the masked image. The foreground objects and the background objects are mapped to a three-dimensional space according to locations of each of the foreground objects, the background objects and occluded objects using the inferred depths. A bird's eye view is generated from the three-dimensional space and displayed with a display device.

公开(公告)号：US20200174870A1

公开(公告)日：2020-06-04

申请号：US16673144

申请日：2019-11-04

Applicant: NEC Laboratories America, Inc.

Inventor： Jianwu Xu ,  Haifeng Chen

IPC: G06F11/07 ,  G06K9/62

Abstract: A method for implementing automated information technology (IT) system failure recommendation and mitigation includes performing log pattern learning to automatically generate sparse time series for each log pattern for a set of classification logs corresponding to a failure, performing multivariate log time series extraction based on the log pattern learning to generate a failure signature for the set of classification logs, including representing the sparse time series as a run-length encoded sequence for efficient storage and computation, calculating a similarity distance between the failure signature for the set of classification logs and each failure signature from a failure signature model file, determining a failure label for the failure corresponding to a most similar known failure based on the similarity distance, and initiating failure mitigation based on the failure label.

公开(公告)号：US20200097757A1

公开(公告)日：2020-03-26

申请号：US16580199

申请日：2019-09-24

Applicant: NEC Laboratories America, Inc.

Inventor： Renqiang Min ,  Kai Li ,  Bing Bai ,  Hans Peter Graf

IPC: G06K9/62 ,  G06K9/46 ,  G06N3/08

Abstract: A computer-implemented method and system are provided for training a model for New Class Categorization (NCC) of a test image. The method includes decoupling, by a hardware processor, a feature extraction part from a classifier part of a deep classification model by reparametrizing learnable weight variables of the classifier part as a combination of learnable variables of the feature extraction part and of a classification weight generator of the classifier part. The method further includes training, by the hardware processor, the deep classification model to obtain a trained deep classification model by (i) learning the feature extraction part as a multiclass classification task, and (ii) episodically training the classifier part by learning a classification weight generator which outputs classification weights given a training image.

公开(公告)号：US20200092316A1

公开(公告)日：2020-03-19

申请号：US16565746

申请日：2019-09-10

Applicant: NEC Laboratories America, Inc.

Inventor： LuAn Tang ,  Jingchao Ni ,  Wei Cheng ,  Haifeng chen ,  Dongjin Song ,  Bo Zong ,  Wenchao Yu

IPC: H04L29/06 ,  G06K9/62 ,  G06F16/901

Abstract: Systems and methods for implementing dynamic graph analysis (DGA) to detect anomalous network traffic are provided. The method includes processing communications and profile data associated with multiple devices to determine dynamic graphs. The method includes generating features to model temporal behaviors of network traffic generated by the multiple devices based on the dynamic graphs. The method also includes formulating a list of prediction results for sources of the anomalous network traffic from the multiple devices based on the temporal behaviors.

公开(公告)号：US10581216B2

公开(公告)日：2020-03-03

申请号：US15586209

申请日：2017-05-03

Applicant: NEC Laboratories America, Inc.

Inventor： Fatih Yaman ,  Shaoliang Zhang ,  Eduardo Mateo Rodriquez ,  Takanori Inoue ,  Yoshihisa Inada ,  Takaaki Ogata

IPC: H01S3/094 ,  H01S3/067 ,  H01S3/16 ,  G02B6/12 ,  G02B6/28

Abstract: An optical communication substrate includes a plurality of cores to communicate optical signals; a rectangular input delivering a pump laser, and a shaped portion to combine the optical signals and the pump laser into a ring geometry at an output.

公开(公告)号：US10572661B2

公开(公告)日：2020-02-25

申请号：US15652796

申请日：2017-07-18

Applicant: NEC Laboratories America, Inc.

Inventor： Zhenyu Wu ,  Jungwhan Rhee ,  Yuseok Jeon ,  Zhichun Li ,  Kangkook Jee ,  Guofei Jiang

IPC: G06F12/14 ,  G06F21/55 ,  G06F21/56 ,  G06F21/57

Abstract: Methods and systems for security analysis include determining whether a process has an origin internal to a system or external to the system using a processor based on monitored behavior events associated with the process. A security analysis is performed on only processes that have an external origin to determine if any of the processes having an external origin represent a security threat. A security action is performed if a process having an external origin is determined to represent a security threat.

公开(公告)号：US10565496B2

公开(公告)日：2020-02-18

申请号：US15385283

申请日：2016-12-20

Applicant: NEC Laboratories America, Inc.

Inventor： Kihyuk Sohn

IPC: G06N3/08 ,  G06N3/04 ,  G06F17/11 ,  G06N7/00

Abstract: A method includes receiving N pairs of training examples and class labels therefor. Each pair includes a respective anchor example, and a respective non-anchor example capable of being a positive or a negative training example. The method further includes extracting features of the pairs by applying a DHCNN, and calculating, for each pair based on the features, a respective similarly measure between the respective anchor and no example. The method additionally includes calculating a similarity score based on the respective similarity measure for each pair. The score represents similarities between all anchor points and positive training examples in the pairs relative to similarities between all anchor points and negative training examples in the pairs. The method further includes maximizing the similarity score for the anchor example for each pair to pull together the training examples from a same class while pushing apart the training examples from different classes.

公开(公告)号：US20200050900A1

公开(公告)日：2020-02-13

申请号：US16526073

申请日：2019-07-30

Applicant: NEC Laboratories America, Inc.

Inventor： Samuel Schulter ,  Ziyan Wang ,  Buyu Liu ,  Manmohan Chandraker

IPC: G06K9/62 ,  G05D1/02 ,  G06K9/00 ,  B60R11/04 ,  H04N5/232 ,  G06N3/02

Abstract: A method for implementing parametric models for scene representation to improve autonomous task performance includes generating an initial map of a scene based on at least one image corresponding to a perspective view of the scene, the initial map including a non-parametric top-view representation of the scene, implementing a parametric model to obtain a scene element representation based on the initial map, the scene element representation providing a description of one or more scene elements of the scene and corresponding to an estimated semantic layout of the scene, identifying one or more predicted locations of the one or more scene elements by performing three-dimensional localization based on the at least one image, and obtaining an overlay for performing an autonomous task by placing the one or more scene elements with the one or more respective predicted locations onto the scene element representation.

公开(公告)号：US20200019858A1

公开(公告)日：2020-01-16

申请号：US16508512

申请日：2019-07-11

Applicant: NEC Laboratories America, Inc.

Inventor： Shuchu Han ,  LuAn Tang ,  Haifeng Chen

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods and systems for optimizing performance of a cyber-physical system include training a machine learning model, according to sensor data from the cyber-physical system, to generate one or more parameters for controllable sensors in the cyber-physical system that optimize a performance indicator. New sensor data is collected from the cyber-physical system. One or more parameters for the controllable sensors are generated using the trained machine learning module and the new sensor data. The one or more parameters are applied to the controllable sensors to optimize the performance of the cyber-physical system.

公开(公告)号：US20200007234A1

公开(公告)日：2020-01-02

申请号：US16454054

申请日：2019-06-27

Applicant: NEC Laboratories America, Inc.

Inventor： Yue-Kai HUANG ,  Ezra IP ,  Philip Nan JI ,  Ming-Fang HUANG

IPC: H04B10/2543 ,  H04B10/25

Abstract: Aspects of the present disclosure describe systems, methods and structures providing bidirectional optical fiber communication and sensing using the same fiber transmission band and bidirectional WDM fiber sharing such that communications channels and optical fiber sensing channel(s) coexist on the same fiber. As a result, nonlinear interaction between communications channels and interrogating pulse(s) of sensing are much reduced or eliminated.