Abstract: An importance metric, based at least in part on an energy metric, may be determined for each of a plurality of received audio objects. Some methods may involve: determining a global importance metric for all of the audio objects, based, at least in part, on a total energy value calculated by summing the energy metric of each of the audio objects; determining an estimated quantization bit depth and a quantization error for each of the audio objects; calculating a total noise metric for all of the audio objects, the total noise metric being based, at least in part, on a total quantization error corresponding with the estimated quantization bit depth; calculating a total signal-to-noise ratio corresponding with the total noise metric and the total energy value; and determining a final quantization bit depth for each of the audio objects by applying a signal-to-noise ratio threshold to the total signal-to-noise ratio.

Abstract: A system and method includes creation of a combined network comprising an image segmentation network and an image representation network, the combined network to generate an image descriptor based on an input query image, training of the combined network based on a plurality of first images and a segmentation mask associated with each of the plurality of first images, reception of a first input query image, use of the combined network to generate an image descriptor based on the first input query image, determination of a matching image descriptor from a plurality of stored image descriptors, determination of a camera pose associated with the matching image descriptor, registration of the first input query image with image data based on the determined camera pose, generation of a composite image based on the registered first input query image and image data, and presentation of the composite image.

Abstract: A system and method includes creation of a combined network comprising an image segmentation network and an image representation network, the combined network to generate an image descriptor based on an input query image, training of the combined network based on a plurality of first images and a segmentation mask associated with each of the plurality of first images, reception of a first input query image, use of the combined network to generate an image descriptor based on the first input query image, determination of a matching image descriptor from a plurality of stored image descriptors, determination of a camera pose associated with the matching image descriptor, registration of the first input query image with image data based on the determined camera pose, generation of a composite image based on the registered first input query image and image data, and presentation of the composite image.

Abstract: A flow measuring device operating on the vortex counter principle, comprises: a measuring tube; a blockage in the form of a bluff body in the measuring tube for bringing about a Karman vortex street with flow dependent vortex frequency; a first pressure fluctuation measuring arrangement for registering vortex related pressure fluctuations and for providing signals dependent on pressure fluctuations; a second pressure fluctuation measuring arrangement for registering vortex related pressure fluctuations and for providing signals dependent on pressure fluctuations. The first pressure fluctuation measuring arrangement is spaced in the longitudinal direction of the measuring tube from the second pressure fluctuation measuring arrangement.

Abstract: A system and method includes generation of a first map of first descriptors based on pixels of a first two-dimensional depth image, where a location of each first descriptor in the first map corresponds to a location of a respective pixel of a first two-dimensional depth image, generation of a second map of second descriptors based on pixels of the second two-dimensional depth image, where a location of each second descriptor in the second map corresponds to a location of a respective pixel of the second two-dimensional depth image, upsampling of the first map of descriptors using a first upsampling technique to generate an upsampled first map of descriptors, upsampling of the second map of descriptors using a second upsampling technique to generate an upsampled second map of descriptors, generation of a descriptor difference map based on differences between descriptors of the upsampled first map of descriptors and descriptors of the upsampled second map of descriptors, generation of a geodesic preservation m

Abstract: Systems and processes for operating an intelligent automated assistant to provide customized suggestions based on user-specific information. An example method includes, at an electronic device having one or more processors, obtaining impressions associated with at least one of the electronic device or additional electronic devices communicatively coupled to the electronic device; and determining one or more concepts based on the impressions. The method also includes generating, based on the one or more determined concepts, a representation of a collection of user-specific information; and providing one or more suggestions to a user based on the representation of the collection of user-specific information.

Abstract: A system includes: a movable X-ray tube scanner; a range sensor movable with the X-ray tube scanner; an X-ray detector positioned to detect X-rays from the X-ray tube passing through a standing subject between the X-ray tube and the X-ray detector; and a processor configured for automatically controlling the X-ray tube scanner to transmit X-rays to a region of interest of the patient while the subject is standing between the X-ray tube and the X-ray detector.

Abstract: Techniques for low bit rate parametric encoding of haptic-tactile signals. The techniques encompass a parametric encoding method. The parametric encoding method includes the steps of: for at least one frame of a plurality of frames of a source haptic-tactile signal, representing the source haptic-tactile signal in the frame as a set of parameters and according to a functional representation; and including the set of parameters in a bit stream that encodes the source haptic-tactile signal. The functional representation is based on one of a set of orthogonal functionals, or polynomial approximation. For example, the functional representation can be based on one of Chebyshev functionals of the first kind through order n, Chebyshev functionals of the second kind through order n, or k-th order polynomial approximation.

Abstract: Techniques are disclosed for automatically detecting anomalies in the content of a scheduled social media post, alerting a user to the presence of such anomalies before the content is posted and recommending a course of action when an anomaly is detected. A set of keywords is extracted from a scheduled post using an ontological classification technique. At predetermined time intervals, the keywords are compared with information obtained from one or more data sources to determine if an anomaly is present. If an anomaly is detected, the scheduled post is classified into one of at least three categories: supporting the post, neutral, or opposing the post. Once the anomaly is detected and the scheduled post is classified, the author of the post is alerted to the anomaly along with the categorization. Subsequently, the author may reschedule the post to an earlier or later time, delete the post, or change the post.

Abstract: A system and method includes acquisition of first surface data of a patient in a first pose using a first imaging modality, acquisition of second surface data of the patient in a second pose using a second imaging modality, combination of the first surface data and the second surface data to generate combined surface data, for each point of the combined surface data, determination of a weight associated with the first surface data and a weight associated with the second surface data, detection of a plurality of anatomical landmarks based on the first surface data, initialization of a first polygon mesh by aligning a template polygon mesh to the combined surface data based on the detected anatomical landmarks, deformation of the first polygon mesh based on the combined surface data, a trained parametric deformable model, and the determined weights, and storage of the deformed first polygon mesh.

Abstract: Systems, methods, and non-transitory computer readable media providing shared online shopping lists and/or carts among users are disclosed. The method includes receiving a primary virtual shopping cart containing related items generated by a first user. A database entry for the primary shopping cart is created and correlated with a shopping cart identifier in response to a user request. The database entry includes one or more keywords associated with the first user of the primary virtual shopping cart. A query is received from a second user, and a list of primary virtual shopping carts is provided to the second user based on relevancy to the query. In response to a request by the second user, the contents of a selected primary virtual shopping cart is duplicated in a secondary virtual shopping cart associated with the second user.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for bootstrapping a language translation system. A system configured to practice the method performs a bidirectional web crawl to identify a bilingual website. The system analyzes data on the bilingual website to make a classification decision about whether the root of the bilingual website is an entry point for the bilingual website. The bilingual site can contain pairs of parallel pages. Each pair can include a first website in a first language and a second website in a second language, and a first portion of the first web page corresponds to a second portion of the second web page. Then the system analyzes the first and second web pages to identify corresponding information pairs in the first and second languages, and extracts the corresponding information pairs from the first and second web pages for use in a language translation model.

Abstract: A security patch tool includes a retrieval engine, a parser, and a reporting engine. The retrieval engine retrieves, from a first database, a log indicating a plurality of patches that have been applied and whether each patch of the plurality of patches was applied successfully. The parser determines, based on the log, a second plurality of patches of the plurality of patches that were not applied successfully and determines, based on the log, an error code for each patch of the second plurality of patches. The retrieval engine further retrieves, from a second database, a remedy for each error code for each patch of the second plurality of patches. The reporting engine generates a report indicating the plurality of patches, the error code for each patch of the second plurality of patches, and the remedy for each error code for each path of the second plurality of patches.

Abstract: Embodiments of a medical imaging device and a method controlling one or more parameters of a medical imaging device are disclosed. In an embodiment, a method includes receiving image data representing a first image of an object to be imaged using the radiation source and detecting a plurality of positions of respective predetermined features in the first image. Based upon the detected positions, a boundary of an imaging area of the object to be imaged is determined. Based on the determined boundary, one or more parameters of the radiation source unit are controlled.

Abstract: Methods and systems for producing nanostructure materials are provided. In one aspect, a process is provided that comprises a) heating one or more nanostructure material reagents by 100° C. or more within 5 seconds or less; and b) reacting the nanostructure material reagents to form a nanostructure material reaction product. In a further aspect, a process is provided comprising a) flowing a fluid composition comprising one or more nanostructure material reagents through a reactor system; and b) reacting the nanostructure material reagents to form a nanostructure material reaction product comprising Cd, In or Zn. In a yet further aspect, methods are provided that include flowing one or more nanostructure material reagents through a first reaction unit; cooling the one or more nanostructure material reagents or reaction product thereof that have flowed through the first reaction unit; and flowing the cooled one or more nanostructure material reagents or reaction product thereof through a second reaction unit.

Abstract: A system, method and computer-readable storage devices for providing unsupervised normalization of noisy text using distributed representation of words. The system receives, from a social media forum, a word having a non-canonical spelling in a first language. The system determines a context of the word in the social media forum, identifies the word in a vector space model, and selects an “n-best” vector paths in the vector space model, where the n-best vector paths are neighbors to the vector space path based on the context and the non-canonical spelling. The system can then select, based on a similarity cost, a best path from the n-best vector paths and identify a word associated with the best path as the canonical version.

Abstract: In one aspect, a computer system useful for recording guest feedback on a captive portal before granting internet access through a venue's Wi-Fi hotspot includes a processor. The processor is communicatively coupled with a memory containing instructions when executed on the processor, causes the processor to perform operations that: provide a captive portal, wherein the captive portal comprises a web page that is shown before allowing a guest's computing device's web browser to access the Internet via a venue's Wi-Fi network; with the web page provided by the captive portal, presenting the guest with a feedback form, wherein the feedback form is hosted locally in a local, gateway controller; and obtaining a guest's feedback from a guest input in the feedback form.

Abstract: A method and system for classification of endoscopic images is disclosed. An initial trained deep network classifier is used to classify endoscopic images and determine confidence scores for the endoscopic images. The confidence score for each endoscopic image classified by the initial trained deep network classifier is compared to a learned confidence threshold. For endoscopic images with confidence scores higher than the learned threshold value, the classification result from the initial trained deep network classifier is output. Endoscopic images with confidence scores lower than the learned confidence threshold are classified using a first specialized network classifier built on a feature space of the initial trained deep network classifier.

Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.