Abstract: An interactive tool is described for modifying the behavior of a system, such as, but not limited to, the behavior of a classification system. The tool uses an interface mechanism to present a current global state of the system. The tool accepts one or more refinements to this global state, e.g., by accepting individual changes to parameter settings that are presented by the interface mechanism. Based on this input, the tool computes and displays the global implications of the updated parameter settings. The process of iterating over one or more cycles of user updates, followed by computation and display of the implications of the attempted refinements, has the effect of advancing the system towards a global state that exhibits desirable behavior.

Abstract: A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.

Abstract: Model enhancement architecture that provides selective sampling of data to enhance model performance where model testing is deemed to be poor. Sampling can include direct interaction with the user while the user is logged-in to the computing system. The system can be used to infer a computer user's current interruptability based on computer activity and relevant contextual information. Personalized models can then be created that are utilized to determine a cost of interruption and an expected utility. A modeling component is provided that builds and runs models based on data. The data can be any type of data such as application data, user profile data, tracking data, user state data, user situation data, and so on. A sampling component samples the data based on failure analysis of the model. The architecture is a utility-centric approach to gathering data to maximally enhance the current model.

Abstract: A method of electronically broadcasting messages to a general or targeted audience. A message sender can post messages on electronic bulletin boards by accessing a website or calling a phone number. The user has control of the design and content of the message including font, background, pictures and sound; there is no need to contact another person or organization such as a radio or TV station to post the message; and the user can target a specific audience if so desired. Messages are posted on user-specified electronic bulletin boards for a certain time slot and can be applied to a variety of services such as highway advertising boards, Amber Alerts, and campus message boards, to name a few.

Abstract: Active learning is extended to decisions on information acquisition of both missing labels and missing features within one or more cases. In one example, desired (e.g., optimal) information to acquire about a case at hand and about cases in a training library during diagnostic sessions can be computed concurrently. A joint distribution of variables, comprising observed and unobserved labels and features for one or more cases, is modeled and probability distributions are determined for unobserved variables. An unobserved variable is selected from the joint distribution that has a return on information (ROI) metric having a combination of a desired uncertainty metric for a value of the unobserved variable and a desired cost for observing the value of the unobserved variable. The value of the variable is observed, and the probability distributions for the respective unobserved variables in the joint distribution are updated using the value of the identified variable.

Abstract: The described implementations relate to assisted face recognition tagging of digital images, and specifically to context-driven assisted face recognition tagging. In one case, context-driven assisted face recognition tagging (CDAFRT) tools can access face images associated with a photo gallery. The CDAFRT tools can perform context-driven face recognition to identify individual face images at a specified probability. In such a configuration, the probability that the individual face images are correctly identified can be higher than attempting to identify individual face images in isolation.

Abstract: A real-time visual feedback ensemble classifier generator and method for interactively generating an optimal ensemble classifier using a user interface. Embodiments of the real-time visual feedback ensemble classifier generator and method use a weight adjustment operation and a partitioning operation in the interactive generation process. In addition, the generator and method include a user interface that provides real-time visual feedback to a user so that the user can see how the weight adjustment and partitioning operation affect the overall accuracy of the ensemble classifier. Using the user interface and the interactive controls available on the user interface, a user can iteratively use one or both of the weigh adjustment operation and partitioning operation to generate an optimized ensemble classifier.

Abstract: An electrode for use in a welding process may comprise a finite length electrode core. The electrode core may be encapsulated at least partially within a coating comprising a flux material. One end of the electrode core may be tapered from a first diameter D to a second smaller diameter D1. The tapered end may further be covered with a coating that enhances the arc starting capabilities of the electrode.

Abstract: A highly basic particle flux for submerged arc welding that produces less than 7 ml/100 gr of diffusible hydrogen in the weld metal, which flux comprises a carbon dioxide containing compound with an effective amount of heat releasable carbon dioxide in the range of 0.5-3.5% by weight of the flux over 10% by weight of a low melting point compound and a binder.

Abstract: The subject invention leverages spectral “palettes” or representations of an input sequence to provide recognition and/or synthesizing of a class of data. The class can include, but is not limited to, individual events, distributions of events, and/or environments relating to the input sequence. The representations are compressed versions of the data that utilize a substantially smaller amount of system resources to store and/or manipulate. Segments of the palettes are employed to facilitate in reconstruction of an event occurring in the input sequence. This provides an efficient means to recognize events, even when they occur in complex environments. The palettes themselves are constructed or “trained” utilizing any number of data compression techniques such as, for example, epitomes, vector quantization, and/or Huffman codes and the like.

Abstract: An interactive concept learning image search technique that allows end-users to quickly create their own rules for re-ranking images based on the image characteristics of the images. The image characteristics can include visual characteristics as well as semantic features or characteristics, or may include a combination of both. End-users can then rank or re-rank any current or future image search results according to their rule or rules. End-users provide examples of images each rule should match and examples of images the rule should reject. The technique learns the common image characteristics of the examples, and any current or future image search results can then be ranked or re-ranked according to the learned rules.

Abstract: The subject disclosure relates to a method and system for visual object categorization. The method and system include receiving human inputs including data corresponding to passive human-brain responses to visualization of images. Computer inputs are also received which include data corresponding to outputs from a computerized vision-based processing of the images. The human and computer inputs are processing so as to yield a categorization for the images as a function of the human and computer inputs.

Abstract: An electrode to form a hardfacing alloy for use as a surfacing on metal that is subjected to high thermal and mechanical stresses. The electrode includes chromium, a metal sensitization inhibitor, and iron to form a hardfacing alloy.

Abstract: An automated voice message or caller prioritization system that extracts words, prosody, and/or metadata from a voice input. The data extracted is classified with a statistical classifier into groups of interest. These groups could indicate the likelihood that a call is urgent versus nonurgent, from someone the user knows well versus someone that the user only knows casually or not at all, from someone using a mobile phone versus a landline, or a business call versus a personal calls. The system then can determine an action based on results of the groups, including the display of likely category labels on the message. Call handling and display actions can be defined by user preferences.

Abstract: Model enhancement architecture that provides selective sampling of data to enhance model performance where model testing is deemed to be poor. Sampling can include direct interaction with the user while the user is logged-in to the computing system. The system can be used to infer a computer user's current interruptability based on computer activity and relevant contextual information. Personalized models can then be created that are utilized to determine a cost of interruption and an expected utility. A modeling component is provided that builds and runs models based on data. The data can be any type of data such as application data, user profile data, tracking data, user state data, user situation data, and so on. A sampling component samples the data based on failure analysis of the model. The architecture is a utility-centric approach to gathering data to maximally enhance the current model.

Abstract: A granular flux having controlled amounts of titanium and boron to facilitate in the formation of a weld metal having a high toughness without requiring refinement of the weld metal by reheating the weld metal, and enabling the slag to be easily removed from the weld bead.

Abstract: A system and method for detecting speech utilizing audio and video inputs. In one aspect, the invention collects audio data generated from a microphone device. In another aspect, the invention collects video data and processes the data to determine a mouth location for a given speaker. The audio and video are inputted into a time-delay neural network that processes the data to determine which target is speaking. The neural network processing is based upon a correlation to detected mouth movement from the video data and audio sounds detected by the microphone.

Abstract: Various flux compositions for increasing carbon contents in welds are disclosed. The flux compositions can be provided in a variety of different forms such as in an agglomerated form, fused form, sintered form, or provided as a coating. The fluxes are particularly adapted for use in submerged arc welding processes.

Abstract: A method of electronically broadcasting messages to a general or targeted audience. A message sender can post messages on electronic bulletin boards by accessing a website or calling a phone number. The user has control of the design and content of the message including font, background, pictures and sound; there is no need to contact another person or organization such as a radio or TV station to post the message; and the user can target a specific audience if so desired. Messages are posted on user-specified electronic bulletin boards for a certain time slot and can be applied to a variety of services such as highway advertising boards, Amber Alerts, and campus message boards, to name a few.

Abstract: A shielded metal arc welding electrode for depositing a high strength weld metal bead on a workpiece which satisfies the strength requirements under America Welding Society A5.5 standard's E11018M classification with no chromium added to the composition of the electrode.