Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
57results about How to "More computationally efficient" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Binaural sound localization using a formant-type cascade of resonators and anti-resonators
ActiveUS20050117762A1No detectable deterioration of output qualitySave considerable memoryEarpiece/earphone attachmentsTwo-channel systemsFrequency spectrumTerm memory
This invention is a method for binaural localization using a cascade of resonators and anti-resonators to implement an HRTF (head-related transfer function). The spectrum of the cascade reproduces the magnitude spectrum of a desired HRTF. The proposed method provides a considerably more computationally efficient implementation of HRTF filters with no detectable deterioration of output quality while saving memory when storing a large quantity of HRTFs due to the parameterization of its resonators and anti-resonators. Finally, the method offers additional flexibility since the resonators and anti-resonators can be manipulated individually during the design process, making it possible to interpolate smoothly between HRTFs, reduce spectral coloring or achieve higher accuracy at perceptually relevant frequency regions. These HRTF are useful in stereo enhancement and multi-channel virtual surround simulation.
Owner:TEXAS INSTR INC
Graphics processing architecture employing a unified shader
ActiveUS6897871B1More computationally efficientFlexiblyDigital computer detailsCathode-ray tube indicatorsControl signalLogical operations
A graphics processing architecture employing a single shader is disclosed. The architecture includes a circuit operative to select one of a plurality of inputs in response to a control signal; and a shader, coupled to the arbiter, operative to process the selected one of the plurality of inputs, the shader including means for performing vertex operations and pixel operations, and wherein the shader performs one of the vertex operations or pixel operations based on the selected one of the plurality of inputs. The shader includes a register block which is used to store the plurality of selected inputs, a sequencer which maintains vertex manipulation and pixel manipulations instructions and a processor capable of executing both floating point arithmetic and logical operations on the selected inputs in response to the instructions maintained in the sequencer.
Owner:ATI TECH INC
Event clustering of images using foreground/background segmentation
InactiveUS6915011B2Good similarity matchingImprove performanceImage analysisStill image data indexingPattern recognitionLuminosity
An event clustering method uses foreground and background segmentation for clustering images from a group into similar events. Initially, each image is divided into a plurality of blocks, thereby providing block-based images. Utilizing a block-by-block comparison, each block-based image is segmented into a plurality of regions comprising at least a foreground and a background. One or more luminosity, color, position or size features are extracted from the regions and the extracted features are utilized to estimate and compare the similarity of the regions comprising the foreground and background in successive images in the group. Then, a measure of the total similarity between successive images is computed, thereby providing image distance between successive images, and event clusters are delimited from the image distances.
Owner:MONUMENT PEAK VENTURES LLC
Affect-sensitive intelligent tutoring system
ActiveUS20120052476A1Good conditionMinimizing frustrationElectrical appliancesFrustrationCognitive status
An Intelligent Tutoring System (ITS) system is provided that is able to identify and respond adaptively to the learner's or student's affective states (i.e., emotional states such as confusion. frustration, boredom, and flow / engagement) during a typical learning experience, in addition to adapting to the learner's cognitive states. The system comprises a new signal processing model and algorithm, as well as several non-intrusive sensing devices, and identifies and assesses affective states through dialog assessment techniques, video capture and analysis of the student's face, determination of the body posture of the student, pressure on a pressure sensitive mouse, and pressure on a pressure sensitive keyboard. By synthesizing the output from these measures, the system responds with appropriate conversational and pedagogical dialog that helps the learner regulate negative emotions in order to promote learning and engagement.
Owner:GRAESSER ARTHUR CARL +1
Method and system for secure data transmission
ActiveUS20170338951A1Reduce the amount requiredImprove securityKey distribution for secure communicationMultiple keys/algorithms usageSecure communicationClient-side
One embodiment described herein provides a system and method for establishing a secure communication channel between a client and a server. During operation, the client generates a service request comprising a first dynamic message, transmits the first service request to the server, which authenticates the client based on the first dynamic message, and receives a second dynamic message from the server in response to the first dynamic message. The client authenticates the server based on the second dynamic message, and negotiates, via a quantum-key-distribution process, a secret key shared between the client and the server. The client and server then establish a secure communication channel based on at least a first portion of the secret key.
Owner:ALIBABA GRP HLDG LTD
Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
ActiveUS20190209116A1Improve computing efficiencyPrecise processingImage enhancementImage analysisDisease3d image
Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and / or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and / or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and / or determine efficacy of a treatment modality.
Owner:EXINI DIAGNOSTICS +1
Machine learning systems and methods for data augmentation
InactiveUS20180247227A1Verify accuracy of resultImprove automationMathematical modelsDigital data information retrievalTheoretical computer sciencePhysical model
Aspects relate to systems and methods for improving the operation of computer-implemented neural networks. Some aspects relate to training a neural network using a compressed representation of the inputs either through efficient discretization of the inputs, or choice of compression. This approach allows a multiscale approach where the input discretization is adaptively changed during the learning process, or the loss of the compression is changed during the training. Once a network has been trained, the approach allows for efficient predictions and classifications using compressed inputs. One approach can generate a larger more diverse training dataset based on both simulations from physical models, as well as incorporating domain expertise and other available information. One approach can automatically match the documents to the list, while still allowing a user to input information to update and correct the matching process.
Owner:XTRACT TECH INC
Graphics processing architecture employing a unified shader
InactiveUS20050110792A1More computationally efficientFlexiblyDigital computer detailsProcessor architectures/configurationComputer architectureControl signal
Owner:ATI TECH INC
Method of Systematic Trend-Following
This invention relates to alternative, synthesisable trend-following strategy, based on a rolling, delta-spliced lookback straddle. This operates like a conventional lookback straddle, except that the time to expiry, rather than monotonically running down to zero, is reset where possible to that of a ‘younger’ straddle, provided that the delta of the two straddles does not differ by more than a specified amount. It is more computationally efficient than prior art approaches; further, it does not lead to positions being prematurely liquidated.
Owner:ASPECT CAPITAL
Method for Calculating Functions of the Channel Matrices in Linear Mimo-Ofdm Data Transmission
InactiveUS20080317141A1More computationally efficientPotential for computational savings is particularly largeSecret communicationRadio transmissionAlgorithmMatrix function
The present application describes a method for transmitting data through a MIMO-OFDM system which requires the computation of a function f(H(sk)), where H is the channel matrix and sk=exp(j*2*pi*k / N). The method splits function f into a first, nonpolynomial part, which is in turn a function of one or more polynomial functions in sk.
Owner:ETH ZURICH ETH TRANSTER
Systems and methods to utilize subscriber history for predictive analytics and targeting marketing
InactiveUS20140379424A1Computationally efficientMore computationally efficientMarket predictionsAdvertisementsService provisionHabit
Embodiments of the invention relate to computer-implemented methods and systems for managing and analyzing subscriber history data present within a service provider infrastructure. The subscriber history data is free of personally identifiable information and is aggregated according to an anonymous attribute. A predictive model is used to rank a plurality of individuals or households according to one or more household attributes, such as media habits and / or media exposure. Advertisers are provided with access to the ranked data, such that the advertisers can improve marketing metrics for advertisements delivered to the households. Service providers may receive monetary compensation for providing access to the ranked data.
Owner:PSYCHABILITY
Method and system for secure data transmission
ActiveUS10439806B2Reduce the amount requiredImprove securityKey distribution for secure communicationMultiple keys/algorithms usageSecure communicationClient-side
One embodiment described herein provides a system and method for establishing a secure communication channel between a client and a server. During operation, the client generates a service request comprising a first dynamic message, transmits the first service request to the server, which authenticates the client based on the first dynamic message, and receives a second dynamic message from the server in response to the first dynamic message. The client authenticates the server based on the second dynamic message, and negotiates, via a quantum-key-distribution process, a secret key shared between the client and the server. The client and server then establish a secure communication channel based on at least a first portion of the secret key.
Owner:ALIBABA GRP HLDG LTD
Statistical optimization and design method for analog and digital circuits
ActiveUS20060095888A1Improve accuracyReduce computing costComputation using non-denominational number representationProbabilistic CADDigital circuitryAlgorithm
Owner:XIGMIX
FlexSCAPE: Data Driven Hypothesis Testing and Generation System
InactiveUS20110231356A1Improve noiseReduce noiseProbabilistic networksFuzzy logic based systemsGraphicsHypothesis
The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.
Owner:QUANTUM LEAP RES
Method Of Lowering The Computational Overhead Involved In Money Management For Systematic Multi-Strategy Hedge Funds
InactiveUS20080097884A1Less computing powerLow implementation overheadFinanceComplex mathematical operationsBayesian inferenceRelevant feature
A data representation is deployed that comprises instances of a software object implementing a particular systematic trading strategy; there are multiple such instances (‘strategy instances’), each corresponding to a different trading strategy, with a strategy instance being paired with a tradable instrument. The method comprises the steps of: (a) each strategy instance providing an estimate of its returns; (b) using Bayesian inference to assess predefined characteristics of each estimate; (c) allocating capital to specific strategy instance / instrument pairings depending on the estimated returns and the associated characteristics. The object based representation is both flexible and powerful; because it directly supports a Bayesian inference, it is functionally better than known approaches because it allows characteristics, such as the reliability of the return estimates to be quantified and modelled and the accuracy of the return estimates to be improved.
Owner:ASPECT CAPITAL
Global alignment for high-dynamic range image generation
ActiveUS8711248B2More informationAccurate imagingImage enhancementTelevision system detailsMotion vectorReference image
Techniques and tools for high dynamic range (“HDR”) image generation and rendering are described herein. In several described embodiments, images having distinct exposure levels are aligned. In particular embodiments, the alignment of a reference image to a non-reference image is based at least in part on motion vectors that are determined using covariance computations. Furthermore, in certain embodiments, saturated areas, underexposed areas, and / or moving objects are ignored or substantially ignored during the image alignment process. Moreover, in certain embodiments, a hierarchical pyramid block-based scheme is used to perform local motion estimation between the reference image and the non-reference image.
Owner:MICROSOFT TECH LICENSING LLC
Machine learning systems and methods for document matching
InactiveUS20180247156A1More computationally efficientShorten the timeMathematical modelsKernel methodsNerve networkPhysical model
Aspects relate to systems and methods for improving the operation of computer-implemented neural networks. Some aspects relate to training a neural network using a compressed representation of the inputs either through efficient discretization of the inputs, or choice of compression. This approach allows a multiscale approach where the input discretization is adaptively changed during the learning process, or the loss of the compression is changed during the training. Once a network has been trained, the approach allows for efficient predictions and classifications using compressed inputs. One approach can generate a larger more diverse training dataset based on both simulations from physical models, as well as incorporating domain expertise and other available information. One approach can automatically match the documents to the list, while still allowing a user to input information to update and correct the matching process.
Owner:XTRACT TECH INC
Accelerated Hardware Using Dual Quaternions
PendingUS20210303758A1Without compromising efficiencyComputationally efficientConcurrent instruction executionDesign optimisation/simulationAlgorithmMatrix space
Techniques for concatenating, interpolating and upsampling pose transforms represented as dual quaternions are described, including: (1) derivation of a complex-valued matrix form of dual quaternions and dual quaternion operations; (2) derivation of a transformation operator on position vectors which obviates an explicit conversion to a classical 4×4 spatial transformation matrix and keeps results in complex-valued matrix space; (3) design for a generic lookup table system for functions to supply logarithm and exponentiations of the dual quaternion in its native format with trigonometry lookup tables to avoid precision issues when denominators tend to zero; and (4) a mechanism for wrapping the complex-exponentiation together with a simple complex arithmetic unit for computing dual quaternion macro-operations in both native dual quaternion space and through simplifications of the equivalent complex-valued matrix to compute dual quaternion operations such as inverses, multiplications, logarithms and exponentials in order to chain the pose transformations encoded within.
Owner:ULTRALEAP LTD
Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
ActiveUS10973486B2Improve performanceImprove computing efficiencyImage enhancementImage analysis3d imageRadioactive drug
Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and / or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and / or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and / or determine efficacy of a treatment modality.
Owner:EXINI DIAGNOSTICS +1
Secure asynchronous communications
InactiveUS20180020008A1Computationally efficientMore computationally efficientUser identity/authority verificationComputer security arrangementsAsynchronous communicationKey management
Techniques for securing and authenticating asynchronous messages using a key manager are provided. A first component sending an asynchronous message to a second component may identify itself to a key manager by a private key and may receive an encrypted signing key from the key manager. The first component may then hash message content, encrypt the hashed message content using the signing key, and send the encrypted result along with the original message content to the receiving component via asynchronous messaging. The receiving component, which may obtain a symmetric signing key from the key manager or from local storage, may decrypt the received encrypted result using the symmetric signing key, and may hash the received original message content using the same hashing algorithm as the sending component; if the two results match, the receiving component may determine that the message is authentic and uncorrupted.
Owner:FUGUE INC
Higher order logic applied to expert systems for alarm analysis, filtering, correlation and root cause
ActiveUS8027946B1High level of abstractionComputationally efficientKnowledge representationSpecial data processing applicationsRoot causeAlarm analysis
The present invention is directed to a system and method for applying second- and higher-order logic to analysis of event descriptive information, such as alarms, error messages, and fault signals.
Owner:AVAYA INC
Neural network training using compressed inputs
InactiveUS20180247193A1Verify accuracy of resultImprove automationMathematical modelsKernel methodsPhysical modelTheoretical computer science
Aspects relate to systems and methods for improving the operation of computer-implemented neural networks. Some aspects relate to training a neural network using a compressed representation of the inputs either through efficient discretization of the inputs, or choice of compression. This approach allows a multiscale approach where the input discretization is adaptively changed during the learning process, or the loss of the compression is changed during the training. Once a network has been trained, the approach allows for efficient predictions and classifications using compressed inputs. One approach can generate a larger more diverse training dataset based on both simulations from physical models, as well as incorporating domain expertise and other available information. One approach can automatically match the documents to the list, while still allowing a user to input information to update and correct the matching process.
Owner:XTRACT TECH INC
Method and system for analysis of volumetric data
ActiveUS20160225146A1Reduce computing timeEliminating topological errorsImage enhancementReconstruction from projectionVolumetric dataDecomposition
A method for modeling complex shapes from volumetric data utilizing spherical wave decomposition (SWD) combines angular-only basis functions of the SPHARM with spherical Bessel functions as the radial basis functions to form the complete 3D basis. The 3D basis is then used to expand the volumetric data. The resulting 3D volume representation allows images to be generated of both surface and internal structures of the target object.
Owner:RGT UNIV OF CALIFORNIA +1
Statistical optimization and design method for analog and digital circuits
ActiveUS7669150B2Increase probabilityHigh surfaceComputation using non-denominational number representationProbabilistic CADAlgorithmDesign methods
Owner:XIGMIX
Inverse-vector method for smoothing dips and azimuths
ActiveUS7454292B2Easy to explainEasy to implementElectric/magnetic detection for well-loggingSurveyInstabilityComputer science
A system and method using inverse-vector processing to iterate through a loop of three steps: set a guide direction, invert opposite vectors, and average vectors to update the guide direction, for smoothing seismic amplitude data. The inverse-vector method can overcome instabilities where the traditional structure-tensor approach fails. The inverse-vector smoothing is simple to implement and more computational efficient. The resultant dips and azimuths are spatially consistent and thus more interpretable and suitable for calculation of curvature and other dip based attributes.
Owner:SAUDI ARABIAN OIL CO
System and method for adaptive dictionary matching in magnetic resonance fingerprinting
ActiveUS20160349341A1Reduce data storageOvercomes drawbackDiagnostic recording/measuringMeasurements using NMR imaging systemsResonanceComputer science
Systems and methods for estimating quantitative parameters of a subject from data acquired using a magnetic resonance imaging (MRI) system. MR data acquired with an MRI system is provided, which represents a plurality of different signal evolutions acquired using different acquisition parameter settings. An initial dictionary comprising a plurality of signal templates is generated that coarsely sample acquisition parameters used when acquiring the provided MR data. The MR data is compared with the initial dictionary. The quantitative parameters associated with an entry in the initial dictionary are stored as the estimated quantitative parameters when the comparison satisfies a threshold criterion and the initial dictionary is updated when the comparison does not satisfy the threshold criterion.
Owner:THE GENERAL HOSPITAL CORP
Channel Estimation By Time-Domain Parameter Extraction
ActiveUS20140098704A1Minimizes matching errorImprove Channel Estimation AccuracyData switching by path configurationChannel estimationTime domainComputation complexity
Methods and apparatus of channel estimation using time-domain parameter extraction are disclosed. The wireless channel can be modeled by a multipath model with a limited number of parameters in the continuous time domain. In the discrete time domain, the multipath model leads to channel impulse responses that have a limited number of channel taps with non-negligible energy. Extracting the time-domain parameters and then reconstructing the channel yields channel estimates that have better accuracy. Time-domain parameter extraction also has lower computational complexity than existing methods.
Owner:WANG XIAO AN
Fast robust data compression method and system
InactiveUS6909746B2Less distortionReduce distortion problemsPicture reproducers using cathode ray tubesCode conversionData compressionData stream
A video compression process speeds the optimal choice of quantizers for compressing a data stream by setting up the optimization problem as a path-optimization problem in configuration space and finding the lowest cost path through the configuration space. The process begins with a starting node (or “state”) and propagates least-cost waves through the space until a path is completed to the end. The process may continue using uncompleted paths while their costs are less than the end state, beginning with the lowest cost incomplete path, until an improved path is found. The process may further continue, for a time constrained process, until time runs out or all useful possibilities are exhausted.
Owner:UNILOC 2017 LLC
System, method and computer program product for fast conjugate phase reconstruction based on polynomial approximation
ActiveUS8094907B1Reduce computing costComputationally efficientMagnetic measurementsCharacter and pattern recognitionAlgorithmPhase reconstruction
A fast conjugate phase reconstruction method for MRI is based on a polynomial expansion of the off-resonance phase accrual term. The expansion is truncated and can be a Taylor or Chebyshev expansion.
Owner:VIRGINIA UNIV OF
Inverse-vector method for smoothing dips and azimuths
ActiveUS20080255761A1Easy to implementEasy to explainElectric/magnetic detection for well-loggingSurveyInstabilityComputer science
A system and method using inverse-vector processing to iterate through a loop of three steps: set a guide direction, invert opposite vectors, and average vectors to update the guide direction, for smoothing seismic amplitude data. The inverse-vector method can overcome instabilities where the traditional structure-tensor approach fails. The inverse-vector smoothing is simple to implement and more computational efficient. The resultant dips and azimuths are spatially consistent and thus more interpretable and suitable for calculation of curvature and other dip based attributes.
Owner:SAUDI ARABIAN OIL CO
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com