39 results about "Feature discovery" patented technology

A method of providing a comparison among offerings includes displaying a tabulation of two or more criteria for two or more offerings. An input is received from a user relating to a first one of the criteria in the tabulation. Based on the input received from the user for the first one of the criteria, the tabulation is modified with respect to one or more criteria other than the first one of the criteria.

The invention discloses a big-data-oriented privacy information release exposure chain discovery method which is based on the theory of ontology mapping. The method comprises the following steps: (1) measuring and calculating the definition similarity simd, attribute similarity simT and structure similarity sims of privacy data; (2) measuring and calculating the exposure cost of the privacy data through an exposure vector of the privacy data; (3) acquiring the characteristic attribute of a privacy data information exposure chain through measurement and calculation of the definition similarity and exposure cost of the privacy data; and (4) discovering a privacy exposure chain in data released by a user according to the characteristic of the exposure chain, thus protecting the safety in the process of user privacy data information release. Most of the existing privacy protection technologies use a way of encryption or anonymity. However, privacy data must be plaintext when participating in cloud computing. The method is a privacy data release method in the computing process, and can effectively prevent user's privacy data from being leaked in the process of multi-party service computing.

Methods and systems for detecting defects on a wafer are provided. One method includes acquiring output for a wafer generated by an inspection system. Different dies are printed on the wafer with different process conditions. The different process conditions correspond to different failure modes for the wafer. The method also includes comparing the output generated for a first of the different dies printed with the different process conditions corresponding to a first of the different failure modes with the output generated for a second of the different dies printed with the different process conditions corresponding to a second of the different failure modes opposite to the first of the different failure modes. In addition, the method includes detecting defects on the wafer based on results of the comparing step.

Systems, methods, and computer-readable storage devices are disclosed for improved audio feature discovery using a neural network. One method including: receiving a trained neural network model, the trained neural network configured to output an audio feature classification of audio data; deconstructing the trained neural network model to generate at least one saliency map, the at least one saliency map providing a successful classification of the audio feature; and extracting at least one visualization of the audio feature the trained neural network model relies on for classification based on the at least one saliency map.

The invention discloses a cartoon-type animation generation method for a human face video image. The cartoon-type animation generation method comprises the following steps of: reading a human face video to be processed and extracting a key frame of the human face video to obtain a formula described in the specification; reading a key frame image and carrying out illustration processing to obtain an illustration image; reading the illustration image and carrying out human face feature positioning to obtain a face feature point set, and calculating the ratio of each portion of the human face according to face feature points, and carrying out feature discovery on the human face; carrying out overall deformation on the illustration image to obtain an image fti(x,y); carrying out partial exaggeration on the image fti(x,y) to obtain a final cartoon image; processing S frame by frame to obtain a key frame sequence image with a cartoon effect; reading a key frame sequence D, and carrying out middle frame generation between every two key frames by a cross decomposition method to obtain the human face video image. According to the cartoon-type animation generation method disclosed by the invention, the generated cartoon has a comedy and does not lose the original romantic charm by adopting a global-partial combination method, thus the problems of inconsistent styles and face position disproportionality of the existing cartoon are solved, and the generated illustration image is more natural and rich in artistic perception.

Disclosed systems and methods transmit and receive data encoded as optical signals that include a progression of symbols, with each symbol represented as a combination of light frequencies. Light is used as the carrier medium to limit reception to devices that are within visible range of the transmitting device. No mapping of data to symbols is required for generation of the symbol progression by the transmitter and no mapping of symbols to data for recognition of the symbols is required by the receiver. Disclosed embodiments allow arbitrary selection among a plurality of mappings between symbols sent and symbols received. Embodiments are robust to: ambient lighting conditions, differences in optical and temporal response of the first and second devices, and differences in relative orientation between the first and second devices. Embodiments enable a variety of functions including device discovery, feature discovery, beacon identification, status reporting, error readout, key exchange, and authentication.

The invention relates to a suspicious feature discovery method (200) based on transaction network nodes. The suspicious feature discovery method comprises the following steps: constructing a user transaction network (201) based on original transaction features; obtaining key nodes (202) from the constructed user transaction network; for each key node, performing transaction feature extraction on each transaction and forming a transaction feature set (203); performing association rule mining on the transaction feature set of each key node and aquring a transaction feature frequent set (204).

A water consumption trend graphical analysis method based on a water fingerprint algorithm comprises the steps that: data are obtained through remote transmission equipment of the Internet of Things, feature discovery is carried out on the basis of the data, the data are of a waveform structure, region division is carried out on the outer side of the waveform to form 'lane', and a plurality of peak periods and low peak periods are found according to the fluctuation of the 'lane'; and meanwhile, time is added on a horizontal coordinate axis, the time is accurate to hour, data filling is carried out in a 'lane' by predicting and simulating follow-up data, and follow-up prediction data is corrected when next monitoring data is acquired. After the structure is adopted, the method has the following advantages: the water consumption trend is basically determined according to the predicted path of the lane, by adopting the graphical analysis method model, when several prediction points are exceeded to give an alarm or the sudden waveform amplitude exceeds a great prediction value, monitoring equipment judges abnormity and gives an abrupt change alarm, so that the aim of timely early warning and timely informing can be achieved.

An artificially designated relationship can assist the realization of mapping, which can compress the output structure of a machine learning model. For example, an index model of a maximal entropy model can utilize machine learning embedding and mapping to generate classified output. In this way, the feature finding function of a machine learning model (for example, deep networks) and relationship, which is developed based on the people's understanding of structural properties of a problem to be solved, are cooperatively combined to compress the output structure of the model without generatingobvious precision loss. These compressed models improve the adaptability of the models in facilities or other resource limited scenes.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may transmit a LMP version request PDU to a second device. The apparatus may receivea LMP version response PDU including at least one of a link layer identification, a version number, or a sub-version number associated with the second device. The apparatus may determine if one or more of the link layer identification, the version number, or the sub-version number included in the LMP version response PDU are associated with a recognized QLM. The apparatus may a first LMP encapsulated header PDU that includes a first QLMP feature request opcode to the second device when it is determined that one or more of the link layer identification, the version number, or the sub-version number included in the LMP version response PDU are associated with the recognized QLM.

The invention discloses a method for realizing feature discovery and identification of mobile digital communication equipment. The method comprises the following steps: the step 1, starting portable SDR equipment; the step 2, selecting a wireless signal module for loading; the step 3, capturing wireless signal data, and storing the wireless signal data into equipment for buffering., the step 4, processing and analyzing the buffered data by the analysis module, and finding the mobile digital communication equipment hardware feature code contained in the wireless signal, the step 5, identifyingwhether the hardware feature code value found in the step 4 is a specified hardware feature code value, if so, going to the step 6, and if not, going to the step 4; and the step 6, further analyzing and processing the identification result of the step 5 to collect the survival state of the mobile digital communication device and the approximate distance between the mobile digital communication device and the SDR device. According to the method, aiming at the requirements of the public security industry, the discovery and identification of various hardware feature codes in different communication protocol signals are well realized by loading software packages of corresponding protocols.

Methods and apparatus are provided that can provide automatic feature discovery for modular active digitizer pens. A system is provided comprising a digitizer display; and a processor configured to: receive a human interface device (HID) transaction when a digitizer pen is in proximity to the digitizer display, wherein the digitizer pen comprises a pen body attached to a removable function module that supports a modular feature; extract a module identifier (ID) from the HID transaction, wherein the module ID is associated with the removable function module; and display, on the digitizer display, an informational message that concerns the modular feature, wherein the informational message is associated with the module ID. One or more applications compatible with the modular feature may be displayed, and one or more configuration tasks may be automatically executed to enable the modular feature on the system.