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公开(公告)号：US20220083781A1
公开(公告)日：2022-03-17
申请号：US17464099
申请日：2021-09-01
Applicant: NEC Laboratories America, Inc.
Inventor： Farley Lai , Asim Kadav , Anupriya Prasad
Abstract: A computer-implemented method is provided for compositional reasoning. The method includes producing a set of primitive predictions from an input sequence. Each of the primitive predictions is of a single action of a tracked subject to be composed in a complex action comprising multiple single actions. The method further includes performing contextual rule filtering of the primitive predictions to pass through filtered primitive predictions that interact with one or more entities of interest in the input sequence with respect to predefined contextual interaction criteria. The method includes performing, by a processor device, temporal rule matching by matching the filtered primitive predictions according to pre-defined temporal rules to identify complex event patterns in the sequence of primitive predictions.
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公开(公告)号：US20220076135A1
公开(公告)日：2022-03-10
申请号：US17391526
申请日：2021-08-02
Applicant: NEC Laboratories America, Inc.
Inventor： Zhengzhang Chen , Haifeng Chen , Yuening Li
Abstract: A method for employing meta-learning based feature disentanglement to extract transferrable knowledge in an unsupervised setting is presented. The method includes identifying how to transfer prior knowledge data from a plurality of source domains to one or more target domains, extracting domain dependence features and domain agnostic features from the prior knowledge data, via a disentangle meta-controller, by discovering factors of variation within the prior knowledge data received from a data stream, and obtaining an evaluation for a downstream task, via a child network, to obtain an optimal child model and a feature disentangle strategy.
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公开(公告)号：US20220075945A1
公开(公告)日：2022-03-10
申请号：US17464005
申请日：2021-09-01
Applicant: NEC Laboratories America, Inc.
Inventor： Xuchao Zhang , Yanchi Liu , Bo Zong , Wei Cheng , Haifeng Chen , Junxiang Wang
IPC: G06F40/284 , G06F40/205 , G06F40/295 , G06N3/04
Abstract: A computer-implemented method is provided for cross-lingual transfer. The method includes randomly masking a source corpus and a target corpus to obtain a masked source corpus and a masked target corpus. The method further includes tokenizing, by pretrained Natural Language Processing (NLP) models, the masked source corpus and the masked target corpus to obtain source tokens and target tokens. The method also includes transforming the source tokens and the target tokens into a source dependency parsing tree and a target dependency parsing tree. The method additionally includes inputting the source dependency parsing tree and the target dependency parsing tree into a graph encoder pretrained on a translation language modeling task to extract common language information for transfer. The method further includes fine-tuning the graph encoder and a down-stream network for a specific NLP down-stream task.
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公开(公告)号：US20220058240A9
公开(公告)日：2022-02-24
申请号：US16987734
申请日：2020-08-07
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Jingchao Ni , Dongkuan Xu , Wenchao Yu
Abstract: A method for unsupervised multivariate time series trend detection for group behavior analysis is presented. The method includes collecting multi-variate time series data from a plurality of sensors, learning piecewise linear trends jointly for all of the multi-variate time series data, dividing the multi-variate time series data into a plurality of time segments, counting a number of up/down trends in each of the plurality of time segments, for a training phase, employing a cumulative sum (CUSUM), and, for a testing phase, monitoring the CUSUM for trend changes.
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公开(公告)号：US11250299B2
公开(公告)日：2022-02-15
申请号：US16668680
申请日：2019-10-30
Applicant: NEC Laboratories America, Inc.
Inventor： Farley Lai , Asim Kadav , Ning Xie
Abstract: A method is provided for determining entailment between an input premise and an input hypothesis of different modalities. The method includes extracting features from the input hypothesis and an entirety of and regions of interest in the input premise. The method further includes deriving intra-modal relevant information while suppressing intra-modal irrelevant information, based on intra-modal interactions between elementary ones of the features of the input hypothesis and between elementary ones of the features of the input premise. The method also includes attaching cross-modal relevant information to the features from the input premise to the features from the input hypothesis to form a cross-modal representation, based on cross-modal interactions between pairs of different elementary features from different modalities. The method additionally includes classifying a relationship between the input premise and the input hypothesis using a label selected from the group consisting of entailment, neutral, and contradiction based on the cross-modal representation.
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Patent Agency Ranking
公开(公告)号：US11249887B2
公开(公告)日：2022-02-15
申请号：US16998224
申请日：2020-08-20
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen , Yuchen Bian
Abstract: Systems and methods for automated software test design and implementation. The system and method being able to establish an initial pool of test cases for testing computer code; apply the initial pool of test cases to the computer code in a testing environment to generate test results; preprocess the test results into a predetermined format; extract metadata from the test results; generate a training sequence; calculate a reward value for the pool of test cases; input the training sequence and reward value into a reinforcement learning agent; utilizing the value output from the reinforcement learning agent to produce a ranking list; prioritizing the initial pool of test cases and one or more new test cases based on the ranking list; and applying the prioritized initial pool of test cases and one or more new test cases to the computer code in a testing environment to generate test results.
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公开(公告)号：US20220012274A1
公开(公告)日：2022-01-13
申请号：US17370498
申请日：2021-07-08
Applicant: NEC Laboratories America, Inc.
Inventor： Yuncong Chen , Dongjin Song , Cristian Lumezanu , Haifeng Chen , Takehiko Mizoguchi , Xuchao Zhang
IPC: G06F16/35 , G06K9/62 , G06N3/08 , G06F40/169
Abstract: Methods and systems of training and using a neural network model include training a time series embedding model and a text embedding model with unsupervised clustering to translate time series and text, respectively, to a shared latent space. The time series embedding model and the text embedding model are further trained using semi-supervised clustering that samples training data pairs of time series information and associated text for annotation.
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568.发明授权公开(公告)号：US11222409B2
公开(公告)日：2022-01-11
申请号：US16867805
申请日：2020-05-06
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Bingbing Zhuang , Pan Ji , Manmohan Chandraker
Abstract: A method for correcting blur effects is presented. The method includes generating a plurality of images from a camera, synthesizing blurred images from sharp image counterparts to generate training data to train a structure-and-motion-aware convolutional neural network (CNN), and predicting a camera motion and a depth map from a single blurred image by employing the structure-and-motion-aware CNN to remove blurring from the single blurred image.
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公开(公告)号：US11204602B2
公开(公告)日：2021-12-21
申请号：US16433206
申请日：2019-06-06
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Masanao Natsumeda
Abstract: Systems and methods for early anomaly prediction on multi-variate time series data are provided. The method includes identifying a user labeled abnormal time period that includes at least one anomaly event. The method also includes determining a multi-variate time series segment of multivariate time series data that occurs before the user labeled abnormal time period, and treating, by a processor device, the multi-variate time series segment to include precursor symptoms of the at least one anomaly event. The method includes determining instance sections from the multi-variate time series segment and determining at least one precursor feature vector associated with the at least one anomaly event for at least one of the instance sections based on applying long short-term memory (LSTM). The method further includes dispatching predictive maintenance based on the at least one precursor feature vector.
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公开(公告)号：US20210378520A1
公开(公告)日：2021-12-09
申请号：US17325613
申请日：2021-05-20
Applicant: NEC Laboratories America, Inc.
Inventor： Kunal Rao , Giuseppe Coviello , Min Feng , Biplob Debnath , Wang-pin Hsiung , Murugan Sankaradas , Srimat Chakradhar , Yi Yang , Oliver Po , Utsav Drolia
Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.
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