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公开(公告)号：US20240054290A1
公开(公告)日：2024-02-15
申请号：US17885423
申请日：2022-08-10
发明人： Raghavan Tinniyam IYER , Amod DESHPANDE , Puneet KALRA , Bhavna BUTANI , Kiran Raghunath SATHVIK , Bhaskar GHOSH
IPC分类号： G06F40/30 , G06F16/33 , G06N5/02 , G06F40/295 , G06F16/35 , G06K9/62 , G06F40/284 , G06F16/332
CPC分类号： G06F40/30 , G06F16/3347 , G06N5/022 , G06F40/295 , G06F16/35 , G06K9/6215 , G06F40/284 , G06K9/6223 , G06K9/6219 , G06F16/3326
摘要： Systems and methods for deep technology innovation management by cross-pollinating innovations dataset are disclosed. A system extracts context-based keyword from an innovation dataset by transforming the innovation dataset to a vector. Further, the system searches semantically relevant keywords for the extracted context-based keyword, by extracting an entity and a key phrase from the extracted a context-based keyword. Furthermore, system clusters the vector, by identifying frequent keywords in the semantically relevant keywords to obtain cluster centroids of the frequent keywords. Thereafter, the system determines weighted keywords in each cluster using the obtained cluster centroids, and classifies the weighted keywords to identify emerging innovation trends relevant to the innovation in the innovation dataset. The system forms cohorts of innovators to explore the reuse of innovations, assets, code, and build focused monetization model.
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2.发明公开公开(公告)号：US20230325471A1
公开(公告)日：2023-10-12
申请号：US17715190
申请日：2022-04-07
发明人： Meng Wan , Sheng Yan Sun , Peng Hui Jiang , Hong Mei Zhang
IPC分类号： G06K9/62 , G06F16/2458 , G06N3/08
CPC分类号： G06K9/6215 , G06K9/6219 , G06K9/628 , G06F16/2477 , G06N3/08
摘要： A supervised similarity measure machine learning method, system, and computer program product that includes generating embeddings by training a supervised deep neural network (DNN) on a feature data to determine which nodes correspond to which clustered learning group of clustered learning groups, performing half-distributed learning by distributing data in a time-series database to the clustered learning groups, and evaluating, based on the embeddings, new tenant data in the clustered learning groups with an upward bow pose.
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公开(公告)号：US20230205847A1
公开(公告)日：2023-06-29
申请号：US17561951
申请日：2021-12-26
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6261
摘要： Systems and methods for automatically identifying in a dataset insufficient data for learning, or records with anomalous combinations of feature values, by partition of numeric and/or categorical data space into human-interpretable regions are disclosed. The method comprises: receiving a dataset of numeric and/or categorical features with a plurality of observations.
Calculating observation density for each observation according to a distance or anomaly based metric, and receiving a density measurement. Partitioning the dataset along the numeric and/or categorical features according to the density measurement of each observation by a perpendicular cut along the feature spaces, receiving a map of a plurality of hyper-rectangular shapes representing various levels of density including empty spaces. Displaying the received map, being human-interpretable regions on a Graphic user interface, GUI, wherein the plurality of hyper-rectangular shapes are selectable and present information about the selected hyper-rectangular shape level of density when selected by a user.-
公开(公告)号：US11662469B2
公开(公告)日：2023-05-30
申请号：US16375052
申请日：2019-04-04
发明人： Zaydoun Rawashdeh
CPC分类号： G06K9/6219 , G01S7/4808 , G01S17/42 , G06T7/246 , G06T7/521 , G06V20/56 , G06T2207/10028 , G06T2207/30252
摘要： A LiDAR point cloud that includes two candidate clusters for merging is received. At a first phase, a distance between the two clusters is determined. If the distance is greater than a threshold, the candidate clusters are not merged. Otherwise, an additional point cloud is received for each cluster at different times. A motion characteristic is determined for each cluster. If the motion characteristic for each cluster is close (indicating that the objects are moving at the same speed), then the clusters are merged. Otherwise the clusters are not merged. The motion characteristic for a cluster can be determined by performing an alignment operation using the point cloud received for the cluster, and using the error associated with the alignment operation as the motion characteristic for the cluster. The decision to merge clusters is based on raw point cloud data, which can take place early in the tracking cycle.
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公开(公告)号：US20190080155A1
公开(公告)日：2019-03-14
申请号：US16182177
申请日：2018-11-06
CPC分类号： G06K9/00288 , G06F16/50 , G06F21/00 , G06F21/32 , G06K9/00261 , G06K9/00281 , G06K9/00677 , G06K9/00885 , G06K9/6219 , G06K2009/00328 , G06Q30/0241 , G06Q30/0277 , G06T11/60
摘要： Embodiments provide, in at least one aspect, methods and systems that authenticate at least one face in at least one digital image using techniques to mitigate spoofing. For example, methods and systems trigger an image capture device to capture a sequence images of the user performing the sequence of one or more position requests based on the pitch and yaw movements. The methods and systems generate a series of face signatures for the sequence of images of the user performing the sequence of one or more position requests. The methods and systems compare the generated series of face signatures to stored face signatures corresponding to the requested sequence of the one or more position requests.
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公开(公告)号：US20180357490A1
公开(公告)日：2018-12-13
申请号：US16003018
申请日：2018-06-07
发明人： Debasish MITRA , Hitesh CHAWLA
CPC分类号： G06K9/00751 , G06K9/00744 , G06K9/4671 , G06K9/527 , G06K9/6215 , G06K9/6219 , G06K9/6272 , G06K9/6276 , G06K2009/4666 , G06N5/003 , G06N7/00 , H04L65/4076 , H04N21/4394 , H04N21/44008 , H04N21/812 , H04N21/8358
摘要： The present disclosure provides a computer-implemented method and system for adaptively switching supervised detection strategy for watermarked and non-watermarked real time televised video advertisements. The televised video advertisements are present in a live stream of a media content of a broadcasted channel. The method includes selection of a set of frames per second from the media content. The method includes checking for one or more watermarked features in each selected frame of the media content. The method includes switching to a first detection strategy. The first detection strategy is associated with detection of a first ad in the live stream of the media content when the one or more watermarked feature are present in each checked frame in the selected set of frames.
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7.发明申请公开(公告)号：US20180342073A1
公开(公告)日：2018-11-29
申请号：US15987030
申请日：2018-05-23
CPC分类号： G06T7/529 , G01N23/046 , G01N33/24 , G01V1/301 , G01V1/306 , G01V1/50 , G01V3/18 , G01V3/38 , G01V5/12 , G01V8/02 , G01V2210/624 , G01V2210/6244 , G01V2210/74 , G06K9/4642 , G06K9/6219 , G06K9/6223 , G06T7/12 , G06T7/143 , G06T7/40 , G06T7/42 , G06T2207/10081 , G06T2207/20076 , G06T2207/30181
摘要： The disclosure relates to methods and systems for analyzing an image of the formation intersected by a borehole. One of the methods determines a local apparent dip of the borehole at least at a measured depth i represented on the image, applies at least a window to the image, wherein each of the windows includes one of the measured depth i and is shaped as a function of the determined local dip at the corresponding measured depth i, compares a texture of at least a first zone of each window and a texture of at least a second zone of said window, wherein each of the first and second zones are adjacent and shaped as a function of the determined dip. Based on the comparison, the method determines at least a location of a texture boundary and derives a property of the formation. The other method includes determine locations of the texture boundaries, segmenting the image as a function of the texture boundaries, and perform clustering of the segments in order to determine a facies of the formation.
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公开(公告)号：US09946958B1
公开(公告)日：2018-04-17
申请号：US15293679
申请日：2016-10-14
申请人： Cloudera, Inc.
发明人： Micha Gorelick , Hilary Mason , Grant Custer
CPC分类号： G06K9/6219 , G06F17/277 , G06F17/2818 , G06F17/289 , G06F17/3002 , G06F17/30244 , G06F17/30268 , G06F17/3028 , G06F17/30598 , G06F17/30684 , G06F17/30946 , G06K9/6201 , G06K9/6215 , G06K9/6277 , G06K9/6296 , G06K9/72
摘要： An image processing system involves a camera, at least one processor associated with the camera, non-transitory storage, a lexical database of terms and image classification software. The image processing system uses the image classification software to assign hyponyms and associated probabilities to an image and then builds a subset hierarchical tree of hypernyms from the lexical database of terms. The processor then scores the hypernyms and identifies at least one hypernym for the image that has a score that is calculated to have a value that is greater than one of: a pre-specified threshold score, or all other calculated level scores within the subset hierarchical tree. The associated methods are also disclosed.
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公开(公告)号：US20180096219A1
公开(公告)日：2018-04-05
申请号：US15835261
申请日：2017-12-07
申请人： salesforce.com, inc.
发明人： Richard Socher
CPC分类号： G06F17/2715 , G06K9/00677 , G06K9/6219 , G06K9/6292 , G06N3/0445 , G06N3/0454
摘要： Deep learning is applied to combined image and text analysis of messages that include images and text. A convolutional neural network is trained against the images and a recurrent neural network against the text. A classifier predicts human response to the message, including classifying reactions to the image, to the text, and overall to the message. Visualizations are provided of neural network analytic emphasis on parts of the images and text. Other types of media in messages can also be analyzed by a combination of specialized neural networks.
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公开(公告)号：US20180068062A1
公开(公告)日：2018-03-08
申请号：US15679619
申请日：2017-08-17
发明人： Feng ZHANG , David Arthur SCOTT
CPC分类号： G16B40/00 , G06K9/6219 , G06K9/627 , G06K9/6297 , G06N3/088 , G06N7/005 , G16B20/00
摘要： Embodiments disclosed herein provide methods for identifying new CRISPR loci and effectors, as well as different CRISPR loci combinations found in various organisms. Class-II CRISPR systems contain single-gene effectors that have been engineered for transformative biological discovery and biomedical applications. Discovery of additional single-gene or multi-component CRISPR effectors may enhance existing CRISPR applications, such as precision genome engineering. Comprehensive characterization of CRISPR-loci may identify novel functional roles of CRISPR loci enabling new tools for biomedicine and biological discovery. CRISPR loci have enormous feature complexity, but classification of CRISPR loci has been focused on a small fraction of highly abundant features. Increased genome sequencing has enhanced the sampling of this feature complexity.
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