Abstract: Systems, methods, and other embodiments associated with identifying a document type of an unidentified document based on image features are described. In one embodiment, image pairs are formed by pairing the unidentified document with anchor images from a plurality of anchor images, wherein each anchor image is a known document type. For each image pair, first visual features are extracted from the unidentified document and second visual features are extracted from the paired anchor image. A similarity function is applied to compare the first visual features and the second visual features, and a similarity score is generated for each image pair based on the comparing. The most similar anchor image from the image pairs, which has a greatest similarity score, is identified. The document type of the unidentified document is then predicted as the known document type associated with the most similar anchor image.

Abstract: A device for dielectric material characterization of a test sample is provided. The device comprises a resonator block comprising a groove at at least one side of the resonator block, wherein the groove comprises at least a first inclined surface and a second inclined surface and is configured to contact the test sample via the first inclined surface and/or the second inclined surface. In this regard, the resonator block is configured to generate a rotational electric field coupled between the first inclined surface and the second inclined surface of the groove and further to propagate the rotational electric field partially or fully through the test sample in order to perform dielectric material characterization of the test sample.

Abstract: Systems, methods, and other embodiments associated with a data quality framework for a machine learning pipeline are described. In one embodiment, a method includes receiving an input dataset prior to training a machine learning model with the input dataset. The input dataset, having data records in column tabular form, is analyzed to determine a data quality of the input dataset prior to training the machine learning model. A data quality score is generated that represents an overall quality of the input dataset, where the data quality score is generated based on a combined ensemble of at least two factors selected from (i) an abundance factor, (ii) a completeness factor, and (iii) a dimension efficiency factor. Based on the data quality score, the input dataset is either permitted or prohibited from continuing in the machine learning pipeline, and corrective actions may be performed.

Abstract: A method includes identifying one or more transformations to be applied in order to generate one or more features or feature sets. The method also includes generating metadata identifying the one or more features or feature sets and the one or more transformations. The method further includes using the metadata to determine the one or more features or feature sets for specified data and storing the one or more determined features or feature sets in a feature store. In addition, the method includes outputting at least some of the one or more determined features or feature sets or data associated with the at least some of the one or more determined features or feature sets from the feature store to at least one machine learning model.

Abstract: A bill verification system for verifying bill records associated with an entity account is disclosed. The system receives a request to verify a bill record associated with an entity account. The system identifies a bill level model to be used for verifying the bill record and detects based on the bill level model, bill level anomaly information for the bill record. The system additionally identifies a bill line level model to be used for verifying one or more bill lines in the bill record and detects based on the bill line level model, bill line level anomaly information for the bill record. The system then aggregates the bill level anomaly information and the bill line level anomaly information to generate a bill verification report for the bill record. The system provides the bill verification report as a response to the request received to verify the bill record.

Abstract: According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.

Abstract: A progressive sealing system for a reciprocating machine includes a pressure breaker having a first seal, and one or more additional seals between the pressure breaker and an end plate. One or more seal housings hold the seals between the first seal and the end plate. The end plate couples the progressive sealing system to a housing of a cylinder of the reciprocating machine such that a surface of the first seal faces a chamber of the cylinder. A housing for the second one of the seals includes a bore having an inner surface. The inner surface of the bore of the second seal housing and an outer surface of a rod of the reciprocating machine define an annular space when the rod is received in the bore. The packing case includes an expansion chamber adjoining the annular space.

Abstract: The present invention discloses method and system for multimodal analysis based emotion recognition. The method comprising segmenting video data of a user into a plurality of video segments. A plurality of visual features, voice features and text features from the plurality of video segments is extracted. Autocorrelation values among each of the plurality of visual features, the voice features, and the text features is determined. Each of the plurality of visual features, the voice features and the text features is aligned based on video segment identifier and the autocorrelation values to obtain a plurality of aligned multimodal features. One of two classes of emotions is determined for each of the plurality of aligned multimodal features. The determined emotion for each of the plurality of aligned multimodal features is compared with historic multimodal features from a database, and emotion of the user is determined at real time based on comparison.

Abstract: A method of authenticating a user includes obtaining a user authentication request for access to at least one application executed on an electronic device, identifying an actor and a task for authentication based on one or more context parameters associated with at least one of the electronic device or a user, providing a live challenge generated based on the identification, and identifying whether to access the at least one application based on whether the provided live challenge has been successfully performed.

Abstract: Technologies are described for performing automated option planning. For example, option planning can comprise displaying a plurality of product segments, displaying historical performance for the plurality of product segments (e.g., indicating how many options were offered previously), receiving a change threshold value, automatically calculating an option count range for each product segment based at least in part on the change threshold value and the historical performance, automatically determining a proposed option count for each product segment (e.g., limited to its corresponding option count range), and displaying the proposed option count for each of the plurality of product segments. Sales targets can also be calculated and displayed based on the proposed option counts. Option planning can be performed within a graphical user interface.

Abstract: The present invention discloses method and system for multimodal analysis based emotion recognition. The method comprising segmenting video data of a user into a plurality of video segments. A plurality of visual features, voice features and text features from the plurality of video segments is extracted. Autocorrelation values among each of the plurality of visual features, the voice features, and the text features is determined. Each of the plurality of visual features, the voice features and the text features is aligned based on video segment identifier and the autocorrelation values to obtain a plurality of aligned multimodal features. One of two classes of emotions is determined for each of the plurality of aligned multimodal features. The determined emotion for each of the plurality of aligned multimodal features is compared with historic multimodal features from a database, and emotion of the user is determined at real time based on comparison.

Abstract: Technologies are described for automatically determining option defining attributes for a category. For example, a user can select a category that is associated with a number of products, which are defined by product attributes. The user can also select a number of performance indicators. Based on the selections, the attributes that are most deterministic of the performance indicators can be identified using historical data and using information gain calculations. For example, the attributes can be ordered from most deterministic to least deterministic of the performance indicators.

Abstract: Technologies are described for performing automated option planning For example, option planning can comprise displaying a plurality of product segments, displaying historical performance for the plurality of product segments (e.g., indicating how many options were offered previously), receiving a change threshold value, automatically calculating an option count range for each product segment based at least in part on the change threshold value and the historical performance, automatically determining a proposed option count for each product segment (e.g., limited to its corresponding option count range), and displaying the proposed option count for each of the plurality of product segments. Sales targets can also be calculated and displayed based on the proposed option counts. Option planning can be performed within a graphical user interface.

Abstract: A method of authenticating a user includes obtaining a user authentication request for access to at least one application executed on an electronic device, identifying an actor and a task for authentication based on one or more context parameters associated with at least one of the electronic device or a user, providing a live challenge generated based on the identification, and identifying whether to access the at least one application based on whether the provided live challenge has been successfully performed.

Abstract: An illumination pump source is disclosed. The illumination pump source includes a set of power sources configured to generate a set of laser beams, with at least some of the set of laser beams configured to include illumination having different wavelengths. The illumination pump source also includes an optical fiber. The illumination pump source also includes one or more optical elements, the one or more optical elements configured to couple the illumination from at least some of the laser beams to one or more regions of the optical fiber.

Abstract: NUMA-aware reader-writer locks may leverage lock cohorting techniques and may support reader re-entrancy. They may implement a delayed sleep mechanism by which a thread that fails to acquire a lock spins briefly, hoping the lock will be released soon, before blocking on the lock (sleeping). The maximum spin time may be based on the time needed to put a thread to sleep and wake it up. If a lock holder is not executing on a processor, an acquiring thread may go to sleep without first spinning. Threads put in a sleep state may be placed on a turnstile sleep queue associated with the lock. When a writer thread that holds the lock exits a critical section protected by the lock, it may wake all sleeping reader threads and one sleeping writer thread. Reader threads may increment and decrement node-local reader counters upon arrival and departure, respectively.

Abstract: A system for generating high power broadband light includes multiple light-sustained plasma light sources. Each one of the light-sustained sources includes a pumping source, a gas containment structure for containing gas and configured to receive pumping illumination from the pumping source and a parabolic reflector element arranged to collect at least a portion of the broadband radiation emitted by the generated plasma and form a collimated broadband radiation output. The system also including a set of optical elements configured to combine the collimated broadband outputs from the parabolic reflector elements of the multiple light-sustained plasma light sources into an aggregated broadband beam.

Abstract: A system for forming a laser-sustained plasma includes a gas containment element, an illumination source configured to generate pump illumination, and a collector element configured to focus the pump illumination from the pumping source into the volume of the gas mixture in order to generate a plasma within the volume of the gas mixture that emits broadband radiation. The gas containment element may be configured to contain a volume of a gas mixture including a first gas component and a second gas component. The second gas component suppresses at least one of a portion of the broadband radiation associated with the first gas component or radiation by one or more excimers associated with the first gas component from a spectrum of radiation exiting the gas mixture.

Abstract: A system for forming a laser-sustained plasma includes a gas containment element, an illumination source configured to generate pump illumination, and a collector element configured to focus the pump illumination from the pumping source into the volume of the gas mixture in order to generate a plasma within the volume of the gas mixture that emits broadband radiation. The gas containment element may be configured to contain a volume of a gas mixture including a first gas component and a second gas component. The second gas component suppresses at least one of a portion of the broadband radiation associated with the first gas component or radiation by one or more excimers associated with the first gas component from a spectrum of radiation exiting the gas mixture.

Abstract: A method and system for making global variables NUMA-aware by identifying a first and a second global variable; determining a quantity of NUMA groups of a computing device; partitioning, based on the quantity of NUMA groups, the first global variable into a first global variable array of first global variable array elements; storing each first global variable array element in a different cache line of a first plurality of cache lines of a first cache associated with a first NUMA group of the NUMA groups; partitioning, based on the quantity of NUMA groups, the second global variable into a second global variable array of second global variable array elements; and storing each second global variable array element in a different cache line of a second plurality of cache lines of a second cache associated with a second NUMA group of NUMA groups.