32results about How to "Few features" patented technology

Composite cushioning structures with spatially variable cushioning properties and related materials and methods for producing same are disclosed. In one embodiment, gradient property foam (GPF) is provided and comprised of a two or more phase composite cushioning structure comprised of a spatially variable disposition of one or more second non-solid phase cushioning component into a first solid phase cellular cushioning component to control the local cushioning properties of the final composite cushioning structure. The second cushioning component(s) can be selected to exhibit other cushioning properties when in solid form from the cushioning properties of the first cellular cushioning component in this embodiment. In one embodiment, the second cushioning component(s) can undergo a transition from the non-solid phase into a solid phase within the first cellular cushioning component to form a bond with the first cellular cushioning component to form the composite cushioning structure.

A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

Individuals want to look their best because when they look good, they feel good. It affects not only how they perceive themselves, but also how others perceive them. Unfortunately, many individuals don't look as good as they would like. And even more frustrating, they don't know how to produce their optimal facial look. Imagine a plain or average looking woman being able to transform herself into a very pretty woman. Imagine an already pretty woman being able to transform herself into a gorgeous woman. The Perfect Shape™ Makeover Process empowers individuals to achieve this magical transformation. Confidence, self-esteem, perception, and respect are enhanced in very positive ways. This is something individuals want on a universal, world-wide level. The Perfect Shape™ Makeover Process instructs the client how to use makeup to reshape each of these facial features to the ultimate of what they have to work with.

The invention discloses an event detection method based on Twitter, used to solve the real-time problem of news clue acquisition in the prior art. The event detection method based on the Twitter comprises the following steps: pre-treating tweets by using the natural language processing technology; performing online clustering on the tweets based on short text similarity; performing preliminary judgment on the event attributes of a tweet cluster by means of the characteristics of the tweets in each tweet class; and judging whether the detected event is a first event or not by means of the existing tweet event library, so as to prevent the event from repeating output. The event detection method based on the Twitter has low computational complexity and can be used for detection of sudden hotevents in large-scale flow data; and the event detection method based on the Twitter helps to obtain valuable information from a social media faster and more accurately, and can produce economic benefits directly or indirectly.

The invention relates to a real-time low-bit rate video transcoding method based on H.264, belonging to the field of multi-media signal processing and mainly solving the problem that the transcoding speed is demanded to be high at low bit rate. Video transcoding in the invention is divided into an off-line modeling stage and an online transcoding stage; a model identification technology is utilized to select a macrolbock prediction model; the macrolbock prediction model selection process is a category decision-making process in model identification; and extracted characteristics are input into a classifier to obtain a classification result, i.e. a macroblock prediction model. The classifier is obtained through offline training. The method not only can remarkably accelerate the transcoding speed but also ensures the quality of a recoded image to meet the demand of real-time performance. The invention is suitable for the fields of wireless video monitoring, internet video monitoring and wireless video on demand.

The invention discloses a malicious code recognition method based on cloud computing. The technical problems needed to be solved includes: firstly, variation of current malicious codes is quickened, encryption keys are changed continuously to enable generated code bodies to be extremely low in similarity by the aid of an encryption mechanism of the malicious codes, and traditional detection engines based on feature codes cannot recognize the malicious codes, so that searching and killing rate decreases continuously; and secondly, with development of technology, more self-protection technologies are added into the malicious codes and especially withstand currently popular virtual machine searching and killing mechanisms, and the analysis process of codes which are quite simple in the real environment is extremely complex in virtual machines of antivirus engines, so that the malicious codes are finally unrecognized. Obviously, new feasible schemes are needed to solve the problem of malicious code recognition in the current environment so as to defend effectively.

The invention discloses an image segmentation level selection method based on scale perception, and aims to improve the segmentation quality of an overall image. The method comprises the following main steps: firstly, obtaining a segmentation result represented by a tree form by using a multi-level image segmentation algorithm; secondly, calculating feature vectors of all segmented regions in eachsegmentation layer, and performing quantitative description on region segmentation quality according to a visual format tower principle; thirdly, constructing a graph model of the multi-level segmented image by taking the hierarchical region with the finest segmentation granularity as a node, and finally, mapping a label to a region corresponding to the original hierarchy, and combining to obtaina final image segmentation result. According to the method, based on the scale selection principle of segmentation area quality, the problem of hierarchical selection of multi-level image segmentation is solved, and the limitation of traditional single hierarchical selection and the uncertainty of threshold parameters on segmentation hierarchical selection are overcome. As a post-processing means, the output quality of the multi-level image segmentation algorithm in a visual processing task can be improved.

A radiation device (30) for providing radiation to the skin is described. The radiation device comprises a radiation guide (31) for directing radiation whereby the radiation guide (31) is configured for receiving radiation from at least one radiation source (20) in a side-lit configuration. The radiation device (30) comprises moisture transfer channels (32) inside the radiation guide (31) for enabling moisture transfer from the skin through the radiation guide (31) to the environment. The shape of the walls of the moisture transfer channels (32) is adapted for redirecting radiation in the radiation guide (31) towards the skin.

The invention relates to a coal gangue recognition and separation method based on machine vision and capacitance fusion and a device thereof. The device comprises a retaining rack arranged on a belt conveyor rack for mounting an accessory, wherein a detection unit, a conveying unit, an electric unit and a pneumatic unit are connected to the rack through the retaining rack and are arranged around the belt conveyor reasonably. The method comprises the steps of acquiring an effective thickness of a medium and center position information of a contour thereof through a CCD camera, and combining partial voltage numerical values at two ends of a resistor to recognize coal gangue; and operating a nozzle accurately to separate the coal gangue according to the position information of the center of the contour in combination with the operating speed of a conveyor belt. The method solves the problems that it is hard to extract features of the coal gangue, the recognition precision is low, the mistake separating probability is large and the like. The method is high in processing speed and high in timeliness, and can achieve very high recognition precision with few recognition features.

The invention discloses an electrocardio recognition method with the ultralow data volume. The method is used for electrocardio signal feature extraction and belongs to the field of signal recognition. The method is characterized by comprising the following steps of (1) performing feature extraction on electrocardio signals by using a compressed sensing Chebyshev Chaos projection matrix; (2) extracting the morphological features-front and back RR intervals of the electrocardio signals; and (3) performing standardized processing on the electrocardio projection features and morphologic featuresand then feeding the processed features into a classifier to complete the electrocardio signal recognition process. Compared with the existing electrocardio signal recognition method, the electrocardio recognition method has the advantages that the 11-hour electrocardio signal data (108M) can be compressed to be 1M; the data storage space is greatly reduced; the calculation complexity degree is reduced; the electrocardio classified recognition can be performed at a higher speed; meanwhile, the recognition accuracy reaches 93.36 percent; and important significance is realized on real-time analysis and handling of heart diseases.

Exemplary methods, apparatuses, and systems include a communication system accessing a request received from an application on a user device to log into a primary platform of a communication system using a user account. In response to detecting the request as an unrecognized login attempt, that the user account also grants access to a secondary platform of the communication system, and that settings of the user account include enabled push notifications via the secondary platform, the communication system provides a notification for display to a user of the user account via the secondary platform.

The invention discloses a knowledge base question adding method based on a vector search engine, and the method comprises the steps: extracting scene questions in each scene of a knowledge base, converting at least one similar question of each scene question into a feature vector, and storing the feature vector into a Milvus library; storing the feature vector of each similar question in the Milvus library, and establishing an index; obtaining a newly-added question, converting the newly-added question into a feature vector, conducting similarity retrieval on the feature vector of the newly-added question in the Milvus library to obtain a first similar question and the similarity probability, wherein the similarity probability of the feature vector of the first similar question and the feature vector of the newly-added question is the highest; and determining whether to add the newly added question to the Milvus library or not based on the similarity probability.

The invention provides a data information transmission method, apparatus, system and device. The method comprises the steps: constructing a feature value message according to a feature value corresponding to at least one feature attribute in to-be-transmitted target data, wherein the target data comprises at least one feature attribute and a feature value corresponding to the at least one featureattribute; when that a feature attribute in the target data meets a feature attribute sending condition is detected, constructing a feature attribute message associated with the feature numerical value message according to the at least one feature attribute; sending the feature attribute message and the feature numerical value message to opposite-end equipment, and therefore the opposite-end equipment recovers the target data according to each feature numerical value carried by the feature numerical value message and the feature attribute which is carried by the feature attribute message and corresponds to each feature numerical value. By using the method provided by the invention, the redundant transmission of the characteristic attributes can be reduced while the characteristic number transmission efficiency is improved.

Systems and methods for performing ultrasound visual protocols to increase the speed and accuracy of examinations. A system can include an ultrasound probe, a storage medium for storing ultrasound visual protocols associated with anatomy to be examined, a storage medium on which a scan map comprising a graphical representation of anatomy being examined for a visual protocol is stored, and a touch-screen image display for displaying on a user interface scan map and visual protocol information, a working ultrasonic image of the anatomy being examined, and selectable thumbnail ultrasound images of the anatomy being examined. The display is responsive to receive, for an object identified in an image, object measurement and location information for a visual protocol, and in response to receiving the such information, to display visual protocol steps, location information of the object on the working image, and measurement information of the object.