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1421 results about "Categorization" patented technology

Categorization is something that humans and other organisms do: "doing the right thing with the right kind of thing." The doing can be nonverbal or verbal. For humans, both concrete objects and abstract ideas are recognized, differentiated, and understood through categorization. Objects are usually categorized for some adaptive or pragmatic purpose. Categorization is grounded in the features that distinguish the category's members from nonmembers. Categorization is important in learning, prediction, inference, decision making, language, and many forms of organisms' interaction with their environments.

Categorization and filtering of scientific data

The present invention relates to methods, systems and apparatus for capturing, integrating, organizing, navigating and querying large-scale data from high-throughput biological and chemical assay platforms. It provides a highly efficient meta-analysis infrastructure for performing research queries across a large number of studies and experiments from different biological and chemical assays, data types and organisms, as well as systems to build and add to such an infrastructure. According to various embodiments, methods, systems and interfaces for associating experimental data, features and groups of data related by structure and / or function with chemical, medical and / or biological terms in an ontology or taxonomy are provided. According to various embodiments, methods, systems and interfaces for filtering data by data source information are provided, allowing dynamic navigation through large amounts of data to find the most relevant results for a particular query.
Owner:ILLUMINA INC

System and method for classifying media items

A method and apparatus aids consistent, high-quality input of meta-information associated with items inserted into a database by coupling a hierarchical subject taxonomy, used to definitively assign an element, with sets of attributes appropriate for each category. Each attribute in turn is itself associated with a set of legal values drawn from a universe of appropriately typed values. The method and apparatus can be used to enable a user of a database management system to input or augment a set of semantically relevant and consistent meta-information associated with content in or being placed into the database management system. The content in the database system is placed into one or more of a set of hierarchical taxonomic categories. Zero or more semantically relevant attributes are associated with each taxonomic category. Relevant sets of values for each attribute, drawn from a universe of appropriate values, are associated with each attribute at each level in the taxonomic hierarchy. The placement of an element into a category adds the hierarchical set of attributes associated with that category to those relevant to the element. The value sets associated with those attributes may then be used to select consistent and appropriate meta-information to be associated with the element.
Owner:VAST

Methods and systems of handling patent claims

There is disclosed a computer-implemented method of handling a text expressed in a natural language comprising creating a second text or patent claim sentence from a first text or patent claim sentence and timestamping said second text or patent claim sentence. Developments comprise the creation of a plurality of texts or patent claim sentences, the use of trusted and / or trustless timestamping, the use of grammatical texts, the use of a parser and / or of a tagger, modification operations such as addition, insertion and deletion, injection of definitions of words, the use of a thesaurus (synonym, hyponym, hyperonym, holonym, antonym of a word, etc), the use of a unique and optionally persistent web address, making the second text or patent claim available to the public (or not), the use of lexical directions such as a patent classification indication and the use of crowdsourcing techniques.
Owner:LEPELTIER MARIE THERESE

Automated categorization, placement, search and retrieval of user-contributed items

A method for computerized interactive search and retrieval of content items, in which contributed content items are separated into discrete classifications, provided to users, evaluated by certain users, and assigned a quality rating based on weightings of the evaluations.
Owner:HIGH REGARD

Systems and methods that determine intent of data and respond to the data based on the intent

The present invention relates to systems and methods that determine intent for received data (e.g., email, voice, graphics . . . ) and respond to the data based on the intent. The systems and methods employ various combinations of features based on shallow and deep linguistic analysis (e.g., semantic and syntactic) to yield very high accuracy. The systems and methods analyze and categorize received data to locate data that can include intent. This data can be further refined by extracting features related to the intent. The features can be utilized by a classifier to determine the intent. If the intent warrants a response, the data are further scrutinized and reformulated to generate a description that is indicative of the intent. The reformulation can include representing the features in a logical form, transforming the form and generating a description of the intent that can be presented to a user visually and / or audibly.
Owner:MICROSOFT TECH LICENSING LLC

Method for vehicle classification

A technique for vehicle classification and identification from images successively narrows the classification of a vehicle down to vehicle make, model, and other specific characteristics. This process uses location, size, color, shape, and other image characteristics that help differentiate vehicles from other kinds of objects in an image. A broad categorization of the target vehicle is performed by classifying the vehicle according to a predetermined set of general vehicle types. A short list is then created of potential matching vehicle makes and models within the broad category that have the best chance of matching the target vehicle. Specific visible points on the target vehicle are identified and then a wire-frame matching with pre-recorded wire-frame models of the short listed vehicles is performed to produce a set of selected vehicle makes and models.
Owner:WHITEGOLD SOLUTIONS

System, representation, and method providing multilevel information retrieval with clarification dialog

InactiveUS7089226B1Facilitates informationFacilitate speed and accuracyData processing applicationsDigital data processing detailsStratified analysisDialog box
An information retrieval system, including a learning and real-time classification methodology, is provided in accordance with the present invention. The system includes a hierarchal analysis component that receives a query and processes probabilities associated with N categories, each category having one or more topics, wherein N is an integer. An interactive component drives clarification dialog that is derived from the query and the probabilities associated with the N categories and the one or more topics. The clarification dialog, driven by a rule-based policy, a decision-theoretic analysis considering the costs of dialog to focus the results versus the costs of browsing larger lists, or combinations of rules and decision-theoretic analysis is employed when valuable to determine at least one category of the N categories to facilitate retrieval of at least one of the topics.
Owner:MICROSOFT TECH LICENSING LLC

Comment text emotion classification model training and emotion classification method and device and equipment

ActiveCN108363753AAchieving Context Semantic Robust AwarenessRealize semantic expressionSemantic analysisSpecial data processing applicationsClassification methodsNetwork model
The invention discloses a comment text emotion classification model training and emotion classification method and device and equipment and belongs to the field of text emotion classification in natural language processing. Model training comprises the steps that a comment text and associated subject and object information are acquired; a comment subject and object attention mechanism is fused based on a first-layer Bi-LSTM network to extract sentence-level feature representation; the comment subject and object attention mechanism is fused based on a second-layer Bi-LSTM network to extract document-level feature representation; and a hyperbolic tangent non-linear mapping function is adopted to map document-level features to an emotion category space, softmax classification is adopted to train parameters in a model, and an optimal text emotion classification model is obtained. According to the method, the hierarchical bidirectional Bi-LSTM network model and the attention mechanism are adopted, context semantic robust perception and semantic expression of the text can be realized, the robustness of text emotion classification can be remarkably improved, and the correct rate of classification is increased.
Owner:NANJING UNIV OF POSTS & TELECOMM

Method and system for securing and monitoring a wireless network

A common software interface simplifies a process of configuring the network security features provided by network controlled devices. A real-time threat entity detection system automatically scans the network using various protocols and builds entity profile data for each detection. The entity profile data is saved and updated every time the entity is detected on the network. Once the scan is complete, the system user is prompted to classify each newly detected node as a member or non-member of the network. The system user can then define automatic actions to take upon identification of the existence of the defined threat entity on the network at any point in the future. For example, a typical action could include notifying the threat entity of its detection or sending continuous requests to the threat entity over the network to effectively eliminate the usefulness of its membership on the network. The software also contacts the network gateway or router and configures MAC address filtering and disables broadcast of the router's SSID, effectively making the network invisible to any devices other than the devices allowed on the network. Additionally, the solution provides a process to add new members to the network while security features are enabled.
Owner:ROGERS TODD

System of interactive dictionary

System for building one's own interactive dictionary and / or thesaurus of words, terms, phrases, etc. in one or more languages. It being accepted that one may want to build such data based on one's personal interest of vocabulary in one or more languages by well-defined classifications that uses a computer.
Owner:GORADIA GAUTAM DHARAMDAS

Categorization including dependencies between different category systems

In categorizing an object respective to at least two categorization dimensions each defined by a plurality of categories, a probability value indicative of the object is determined for each category of each categorization dimension. A categorization label for the object is selected respective to each categorization dimension based on (i) the determined probability values of the categories of that categorization dimension and (ii) the determined probability values of categories of at least one other of the at least two categorization dimensions.
Owner:XEROX CORP

Intelligent sociable computer systems

Disclosed are computer systems with intelligent or autonomous decision systems which include means for determining relevancy, i.e., the threats to and opportunities of the autonomous decision system. Also disclosed are such autonomous decision systems constructed and arranged to interact sociably with humans, including the use of natural languages and bonding. The desired "whether concrete is included in abstract" computation system is enhanced by a system of categorizing natural objects using as primitives a set of self tendencies suitable, when hierarchically assigned to objects, to do incremental simulation of "future" situations (including such objects) from a presented situation. Using such primitives and computation system, planning, learning, languaging, etc., are efficiently accomplished.
Owner:STONEMAN DAN J +1

Apparatus and method for classification and segmentation of audio content, based on the audio signal

An apparatus for classifying an input audio signal into audio contents of a first and second class, comprising an audio segmentation module adapted to segment said input audio signal into segments of a predetermined length; a feature computation module adapted to calculate for the segments features characterizing said audio input signal; a threshold comparison module adapted to generate a feature vector for each of said one or more segments based on a plurality of predetermined thresholds, the thresholds including for each of the audio contents of the first class and of the second class a substantially near certainty threshold, a substantially high certainty threshold, and a substantially low certainty threshold; and a classification module adapted to analyze the feature vector and classify each one of said one or more segments as audio contents of the first class, of the second class, or as non-decisive audio contents.
Owner:WAVES AUDIO

Hierarchical categorization method and system with automatic local selection of classifiers

The present invention relates generally to the classification of items into categories, and more generally, to the automatic selection of different classifiers at different places within a hierarchy of categories. An exemplary hierarchical categorization method uses a hybrid of different classification technologies, with training-data based machine-learning classifiers preferably being used in those portions of the hierarchy above a dynamically defined boundary in which adequate training data is available, and with a-priori classification rules not requiring any such training-data being used below that boundary, thereby providing a novel hybrid categorization technology that is capable of leveraging the strengths of its components. In particular, it enables the use of human-authored rules in those finely divided portions towards the bottom of the hierarchy involving relatively close decisions for which it is not practical to create in advance sufficient training data to ensure accurate classification by known machine-learning algorithms, while still facilitating eventual change-over within the hierarchy to machine learning algorithms as sufficient training data becomes available to ensure acceptable performance in a particular sub-portion of the hierarchy.
Owner:HEWLETT-PACKARD ENTERPRISE DEV LP

Hierarchical categorization method and system with automatic local selection of classifiers

The present invention relates generally to the classification of items into categories, and more generally, to the automatic selection of different classifiers at different places within a hierarchy of categories. An exemplary hierarchical categorization method uses a hybrid of different classification technologies, with training-data based machine-learning classifiers preferably being used in those portions of the hierarchy above a dynamically defined boundary in which adequate training data is available, and with a-priori classification rules not requiring any such training-data being used below that boundary, thereby providing a novel hybrid categorization technology that is capable of leveraging the strengths of its components. In particular, it enables the use of human-authored rules in those finely divided portions towards the bottom of the hierarchy involving relatively close decisions for which it is not practical to create in advance sufficient training data to ensure accurate classification by known machine-learning algorithms, while still facilitating eventual change-over within the hierarchy to machine learning algorithms as sufficient training data becomes available to ensure acceptable performance in a particular sub-portion of the hierarchy.
Owner:HEWLETT-PACKARD ENTERPRISE DEV LP

Motion Detection Method, Motion Detection Program, Storage Medium in Which Motion Detection Program is Stored, and Motion Detection Apparatus

In a method of detecting motion of a particular part from a sequence of successive input images, motion vectors of a plurality of parts of the input images are detected by tracking feature points in the successive input images, the motion of the particular part is detected by processing the motion vectors. The motion detection is performed by producing a histogram of the motion vectors, detecting a peak corresponding to the particular part from the histogram; classifying feature points into a class of feature points belonging to the peak detected in the histogram processing step and a class of the other feature points, and calculating motion of the particular part by analysing the motion vectors belonging to the peak detected in the histogram processing step. The histogram processing step includes detecting the peak corresponding to the particular part on the basis of the class information defined for feature points.
Owner:SONY CORP

Specific target emotion classification method based on attention coding and graph convolution network

The invention provides a specific target emotion classification method based on attention coding and a graph convolution network, and the method comprises the steps: obtaining a context and a hidden state vector corresponding to a specific target through a preset bidirectional recurrent neural network model, and carrying out the multi-head self-attention coding of the context and the hidden statevector; extracting a syntax vector in a syntax dependency tree corresponding to the context by combining a point-by-point convolution graph convolutional neural network, and performing multi-head self-attention coding on the syntax vector; then, multi-head interaction attention is used for carrying out interaction fusion on syntactic information codes, context semantic information codes, syntacticinformation codes and specific target semantic information codes; and splicing the fused result with the context semantic information code to obtain a final feature representation, and obtaining an emotion classification result of the specific target based on the feature representation. Compared with the prior art, the relation between the context and the syntax information and the relation between the specific target and the syntax information are fully considered, and the accuracy of sentiment classification is improved.
Owner:NANJING SILICON INTELLIGENCE TECH CO LTD

Data processing device

The present invention aims to provide a data processing device that provides a result of categorization that is satisfactory to a user, even when user data includes an object specific to the user. The data processing device stores therein model data pieces each indicating detection counts of feature amounts; judges, for each target data piece, whether the target data piece is a non-categorization data piece including an uncategorizable object, using the model data pieces and the detection count of each of at least two feature amounts detected in the target data piece; when, as a result of the judgment, two or more of the target data pieces are judged to be non-categorization data pieces, specifies at least two feature amounts that are each included, and detected the same number of times, in a predetermined number or more of the non-categorization data pieces, and newly creates a model data piece based on the at least two feature amounts that have been specified, using a class creation method, and stores the model data piece into the storage unit.
Owner:PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA

Product comment analyzing method and system with learning supervising function

The invention belongs to the data mining and natural language processing technical field, specifically a product comment analyzing method and system with learning supervising function. According to the method, multiple categories (product features) are artificially defined aiming at a specific product; firstly, product feature aspect classification is carried out to collected user comments by a machine learning and training classifier successively; then emotion analysis is carried out to the comment texts classified by a training classifier; and finally quantitative comments on each feature of the product are summarized for a user through comprehensively counting the product features related to a great deal of comment texts and corresponding emotional tendencies. The method and the system of the invention are relatively efficient, rapid, simple and convenient; the classified contents are all user concerned contents; the analysis result is provided to the user visually and clearly; and the work of viewing a great deal of comments can be removed.
Owner:FUDAN UNIV

A small sample depth learning method based on knowledge transfer of shallow model

ActiveCN109102005AOvercoming a lack of expressive abilityOvercome the shortcomings of poor generalization abilityCharacter and pattern recognitionData setSmall sample
The invention discloses a small sample depth learning method based on knowledge transfer of a shallow model. The invention firstly preprocesses the data, and then transforms the original signal into different transform domains according to the prior knowledge and expert experience of the related field, and calculates the artificial features. According to artificial features, different shallow models are selected and trained based on a small amount of labeled sample data. According to classification accuracy / prediction error and other indicators, different shallow models with different featurecombinations are screened to form candidate model pool. Then, based on the candidate model pool, the model is selected to predict the unlabeled samples, and the prediction tags are obtained, and a plurality of prediction tags are fused. The prediction tags are combined with a small number of existing tagged samples to construct the training set. Deep neural network structure is designed for the specific task, and the training is based on the above-mentioned mixed training set. The validity of the proposed method is verified by the rotating machinery fault diagnosis data set.
Owner:HANGZHOU DIANZI UNIV

Class description generation for clustering and categorization

A class is to be characterized of a probabilistic classifier or clustering system that includes probabilistic model parameters. For each of a plurality of candidate words or word combinations, divergence of the class from other classes is computed based on one or more probabilistic model parameters profiling the candidate word or word combination. One or more words or word combinations are selected for characterizing the class as those candidate words or word combinations for which the class has substantial computed divergence from the other classes.
Owner:XEROX CORP

Transparent client application to arbitrate data storage between mutable and immutable data repositories

Provided is a process including: receiving a first write request from an application requesting to write data to a first remote database via a network; classifying the second value as higher-security; and in response to classifying the second value as higher-security, redirecting the second value from a destination specified by the application in the received first write request, wherein an attacker with full access to the first database does not have access to the second value classified as higher security, and wherein code of the application is not modified to interface with two databases in place of the first remote database.
Owner:ALTR SOLUTIONS INC

Analyzer and computer program product

Provided is an analyzer capable of analyzing an analyte with an analytical condition corresponding to a minor classification prepared by subdividing the species (major classification) of the analyte. This analyzer selects a major classification corresponding to the analyte to be analyzed from a plurality of major classifications indicating the types of analytes, preferentially displays minor classifications, belonging to the selected major classification, prepared by subdividing the corresponding major classification, selects one of the displayed minor classifications, and analyzes the analyte on the basis of an analytical condition corresponding to the selected minor classification.
Owner:SYSMEX CORP

Comment entity-based aspect-level emotion classification method and device and model training thereof

The invention discloses a comment entity-based aspect-level emotion classification method and device and model training thereof. The model training comprises the steps of obtaining a training text comprising comment texts, different entities associated with the comment texts, aspect information and emotion information; Converting words, entities and aspects of the training text into word vector representations; combiing and representing comments in the corresponding entities and aspects based on the first interaction layer; Endowing words at different positions with different weights based onthe second position attention layer; extracting Basic words and syntactic features based on the third-layer LSTM network and the fourth-layer linear layer; And based on a fifth attention mechanism anda sixth context memory, extracting semantic features of the whole comment under the entity and aspect. The position-based attention mechanism adopted by the invention can better mine the sentiment internal relations of different words and comments under different entities and aspects, thereby obtaining a more accurate prediction result.
Owner:上海宏原信息科技有限公司

Method and system for using multiple-point statistics simulation to model reservoir property trends

A computer-implemented method and system for simulating reservoir property trends, including petrophysical trends within facies geobodies, is provided. One embodiment includes discretizing a range of values of the reservoir property to be modeled into at least two categories and utilizing the categories to discretize the associated well data and training image into categorical well data and a categorical training image. An embodiment includes applying MPS simulation using the categorical training image on a stratigraphic grid of nodes discretizing the reservoir volume to create a categorical property model. The embodiment additionally includes applying variogram-based simulation in each sub-region of the categorical property model to create a reservoir property model that reproduces the category histogram of each associated sub-region and models the reservoir property trends.
Owner:CHEVROU USA INC

Generating training data from a machine learning model to identify offensive language

Provided is a process that includes: obtaining a corpus of unstructured natural language text statements and corresponding responses by responding users, wherein the corresponding responses are responsive natural language text statements or responding-user-expressed scores; obtaining demographic features associated with the responding users; scoring the corresponding responses based on whether the corresponding responses indicate offense to the unstructured natural language text statements to which the corresponding responses correspond in order to form offensiveness scores; forming a training set at least in part by: labeling the unstructured natural language text statements, or n-grams therein, with labels based on the offensiveness scores; and associating the labels with corresponding demographic features of the responding users; and causing a machine learning model to be trained based on the training set, wherein the machine learning model is configured to at least one of: classify natural language utterances as offensive or non-offensive, or generate utterances.
Owner:CA TECH INC
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