248 results about "High likelihood" patented technology

A gaming machine has a symbol display arrangement that displays a variation action of a variable plurality of symbols that are necessary for playing a game. A predictive display arrangement performs a predictive display that informs the player of the likelihood of the appearance of a specific symbol display state when the variation action is stopped. A determination whether or not the symbol variation action is to be stopped with the appearance thereon of the specific symbol display state is made by a controller that also determines which predictive display mode from among a plurality of predetermined predictive display modes is to be displayed. In one embodiment, the controller controls the predictive display arrangement so that the probability of the appearance of a specific symbol display state is changeable in conjunction with the change in the game with the passage of time. The player will expect the appearance of the predictive display having a high likelihood, and therefore the player's expectation of the appearance of the specific symbol display state can be sustained from the start of the variation display to the stopping thereof. The player's expectation for the "big hit" is enhanced by changing the predictive display in which the likelihood of the "big hit" is increased.

Systems and methods for blocking nerve impulses use an implanted electrode located on or around a nerve. A specific waveform is used that causes the nerve membrane to become incapable of transmitting an action potential. The membrane is only affected underneath the electrode, and the effect is immediately and completely reversible. The waveform has a low amplitude and can be charge balanced, with a high likelihood of being safe to the nerve for chronic conditions. It is possible to selectively block larger (motor) nerve fibers within a mixed nerve, while allowing sensory information to travel through unaffected nerve fibers.

The present invention provides a statistical modeling approach to automatic linguistic indexing of photographic images. The invention uses categorized images to train a dictionary of hundreds of statistical models each representing a concept. Images of any given concept are regarded as instances of a stochastic process that characterizes the concept. To measure the extent of association between an image and a textual description associated with a predefined concept, the likelihood of the occurrence of the image based on the characterizing stochastic process is computed. A high likelihood indicates a strong association between the textual description and the image. The invention utilizes two-dimensional multi-resolution hidden Markov models that demonstrate accuracy and high potential in linguistic indexing of photographic images.

The present invention involves the dynamic loading and unloading of relatively small text-string vocabularies within a speech recognition system. In one embodiment, sub-databases of high likelihood text strings are created and prioritized such that those text strings are made available within definable portions of computer-transcribed dictations as a first-pass vocabulary for text matches. Failing a match within the first-pass vocabulary, the voice recognition software attempts to match the speech input to text strings within a more general vocabulary. In another embodiment, the first-pass text string vocabularies are organized and prioritized and loaded in relation to specific fields within an electronic form, specific users of the system and / or other general context-based, interrelationships of the data that provide a higher probability of text string matches then those otherwise provided by commercially available speech recognition systems and their general vocabulary databases.

The present invention discloses a solution for assuring user-defined voice commands are unambiguous. The solution can include a step of identifying a user attempt to enter a user-defined voice command into a voice-enabled system. A safety analysis can be performed on the user-defined voice command to determine a likelihood that the user-defined voice command will be confused with preexisting voice commands recognized by the voice-enabled system. When a high likelihood of confusion is determined by the safety analysis, a notification can be presented that the user-defined voice command is subject to confusion. A user can then define a different voice command or can choose to continue to use the potentially confusing command, possibly subject to a system imposed confusion mitigating condition or action.

Systems and methods are provided that perform automatic URL analysis and correction in a computing system. The systems and methods automatically detect misentered or incorrect URLs, analyzing the invalid URLs with respect intelligent rules and valid URLs, and where a high likelihood exists for alternative URLs being intended, the alternative URLs are presented to the user as suggestions. The URLs used for comparison to the URL input may be collected through multiple channels or from multiple sources, which may be dynamically updated sources, including URLs commonly or newly found on the Web, users' favorite URLs and the like, as well as URLs from a standard URL list or database, all of which may be from one or more multi-lingual domain. In various embodiments, the alternative URL(s) are automatically presented when there is a very high confidence that the alternatives are desirable. Optionally, a mini search or a full blown search on the URL input may be performed and presented to the user to supplement the alternative URL suggestions. The systems allow a user to seek help or technical information about the URL navigation or search attempt and also allow a user to easily retry the query, ignoring the suggestions.

Methods and systems allow users to enter natural language terms that describe a particular web site into an address field of a browser instead of a formal URL. The terms are evaluated to determine whether they correspond, with a high likelihood, to a particular web site. If so, this web site may be immediately accessed. If not, a list of search results based on the terms may be displayed by the browser.

The apparatus according to the current invention, referred herein as “Rescue Cell” is an AED integrated into a handheld device such as mobile phone; pocket PCs, Personal Digital Assistant (PDA), etc. Rescue Cell device according to embodiments of the present invention is portable; it is integrated into a device that is in regular use by most people. A user of a Rescue Cell is likely to carry his Rescue Cell device with him during his daily routine and to have the device at hand most of the time. Thus, there is high likelihood of the Rescue Cell to be available to him in case of cardiac emergency to himself or to someone near him.

Systems, apparatus, and methods for determining incentives based on consumer history. When, how, and to whom incentives are sent can be determined. For example, an incentive can be sent to a consumer to encourage a transaction at a time when the particular consumer is predisposed to initiate the transaction. Also, an incentive for a transaction can be sent to a consumer when that transaction has a high likelihood of leading to other transactions. An incentive can also be sent after a consumer initiates a transaction that is known to not have many subsequent transaction correlated to it.

A system and method of targeting users with a reward, offer, or incentive may include selecting at least one reward, offer, or incentive to present to a user by applying at least one rule, restriction, or filter dictated by a merchant to the set to be provided to the user, applying at least one rule, restriction, or filter dictated by a financial institution to the set, and applying a filter to the set to obtain those rewards, offers, or incentives with the highest likelihood of being accepted by the user. At least one parameter of the at least one reward, offer, or incentive is adjusted prior to presentation to the user based on a spending trajectory, user propensity model, user profile information or segmentation criteria, or campaign goal.

An apparatus and method are provided for precisely isolating a target lesion in a patient's body tissue, resulting in a high likelihood of “clean” margins about the lesion when it is removed for diagnosis and / or therapy. This approach advantageously will often result in the ability to both diagnose and treat a malignant lesion with only a single percutaneous procedure, with no follow-up percutaneous or surgical procedure required, while minimizing the risk of migration of possibly cancerous cells from the lesion to surrounding tissue or the bloodstream. In particular, the apparatus comprises a biopsy instrument having a distal end adapted for entry into the patient's body, a longitudinal shaft, and a cutting element disposed along the shaft. The cutting element is actuatable between a radially retracted position and a radially extended position. Advantageously, the instrument is rotatable about its axis in the radially extended position to isolate a desired tissue specimen from surrounding tissue by defining a peripheral margin about the tissue specimen. Once the tissue specimen is isolated, it may be segmented by further manipulation of the cutting element, after which the tissue segments are preferably individually removed from the patient's body through a cannula or the like. Alternatively, the specimen may be encapsulated and removed as an intact piece.

Disclosed herein is a method for providing an offer which includes selecting at least one offer for presentation by applying at least one rule dictated by a merchant to a set of offers, applying at least one rule dictated by a financial institution to the offers, and applying a filter to identify offers with the highest likelihood of being accepted by the user. The selected offer is then presented to the user. An authorization request from a merchant for a user transaction is received by a remote computer and analyzed to determine one or more categories or sub-categories of the merchant or item in the transaction. The system then determines whether the selected offer is for a merchant or item in a related but different category from the one for which the authorization request was received, and if it is, the system reminds the user of the selected offer.

Methods and systems are provided for identifying on-topic sources of media content. According to one embodiment, candidate seed sites are identified from which current seeds are selected for deep crawling. The current seeds are identified by correlating relevancy scores or key-word search results from multiple search engines; and selecting the current seeds based on on-topic scores of the candidate seeds. Periodically, a topic net associated with the topic area of interest is executed to locate relevant sources of media content by (i) building a graph in which nodes represent pages and edges represent links among pages by performing an iterative 360 crawl starting from the seeds; (ii) assigning initial node graph scores; (iii) computing final node graph scores by performing link analysis; (iv) computing a site graph scores by aggregating and averaging corresponding node graph scores; and (v) configuring sites with the highest site graph scores to be scraped.

Presentation of a video clip is made to persons having a high probability of viewing the clip. A database containing viewers of previously offered video clips is analyzed to determine similarities of preferences among viewers. When a new video clip has been watched by one or more viewers in the database, those viewers who have watched the new clip with positive results are compared with others in the database who have not yet seen it. Prospective viewers with similar preferences are identified as high likelihood candidates to watch the new clip when presented. Bids to offer the clip are based on the degree of likelihood. For one embodiment, a data collection agent (DCA) is loaded to a player and / or to a web page to collect viewing and behavior information to determine viewer preferences. Viewer behavior may be monitored passively by different disclosed methods.

Disclosed herein are methods and systems for evaluating web browser behavior to report on human versus non-human activity, based on varying analyses of detectable properties. By passively detecting the code of a webpage engaged by a browsing user, the present invention evaluates the browsing user's activity in order to predict the type of user with a degree of confidence. The predictions are formed by acquiring information on how a user loads, navigates, and interacts with a webpage and comparing that information with known and unknown properties in various control groups. If the prediction yields a high likelihood of automated activity, additional active detection may be performed. Reports are compiled by analysis servers and made available to the operators of webpages. By compiling performance metrics and informing operators of fraudulent versus normal activity, the invention combats malicious automated traffic directed at any aspect of a given webpage.

An apparatus and method are provided for precisely isolating a target lesion in a patient's body tissue, resulting in a high likelihood of “clean” margins about the lesion when it is removed for diagnosis and / or therapy. This approach advantageously will often result in the ability to both diagnose and treat a malignant lesion with only a single percutaneous procedure, with no follow-up percutaneous or surgical procedure required, while minimizing the risk of migration of possibly cancerous cells from the lesion to surrounding tissue or the bloodstream. In particular, the apparatus comprises a biopsy instrument having a distal end adapted for entry into the patient's body, a longitudinal shaft, and a cutting element disposed along the shaft. The cutting element is actuatable between a radially retracted position and a radially extended position. Advantageously, the instrument is rotatable about its axis in the radially extended position to isolate a desired tissue specimen from surrounding tissue by defining a peripheral margin about the tissue specimen. Once the tissue specimen is isolated, it may be segmented by further manipulation of the cutting element, after which the tissue segments are preferably individually removed from the patient's body through a cannula or the like. Alternatively, the specimen may be encapsulated and removed as an intact piece.

An “inventory free” approach for managing rental items across a plurality of distribution locations includes sending at least some rental items that are not needed by two or more distribution locations to a designated distribution location. Rental items sent to the designated distribution location may be permanently stored at the designated distribution location, returned to the distribution location from which they were sent, or sent to other distribution locations, depending upon where the rental items are needed. In situations where particular rental items are not currently needed by customers at a distribution location, but there is a high likelihood that the particular rental items will be needed by the customers within a specified time, the particular rental items may be maintained at the distribution location as “float” and not sent to the designated distribution location. The float is re-processed as returned rental items prior to being again rented to customers. The determination of whether customers need, or do not need, a particular rental item may be made based upon a wide variety of criteria such as time criteria, actual and predicted customer demand for rental items, actual and predicted returns of rental items, Net Ships and predicted loss and breakage of rental items.

An atrial based pacing protocol promotes intrinsic conduction. An entire cardiac cycle is monitored for ventricular activity and permitted to lapse with ventricular activity. Ventricular pacing is available in a cardiac cycle immediately subsequent to such a skipped beat. When monitoring for intrinsic ventricular events, an event is expected within a given window. If no such event is detected, the cardiac cycle in truncated, leading to a shorter cycle that is devoid of ventricular activity. The subsequent cycle has a high likelihood of a ventricular sensed event and a greater than normal AV interval is provided prior to pacing.

An image recognition method and system (10) comprises receiving at an input (12) a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels. A gallery of image sets is provided in a storage (18) for comparison. A rejection classifier (32) performs a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood. A matching classifier (36) performs a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.

Disk failures can be statistically predicted at the platform level using information about disks attached to the storage platform and other platform-specific information. In one embodiment, the present invention includes collecting information about a plurality of disks, and predicting that an errant disk has a high likelihood of failure based on the information collected about the plurality of disks. In one embodiment, the invention also includes automatically migrating data from the errant disk to a health disk. In one embodiment, the migration is performed by triggering a RAID mirror event. Other embodiments are described and claimed.

Rapid and accurate in-vivo assessment of cerebral white matter injury particularly for pre-term infants, for timely treatment and / or prediction of outcomes has been very limited. This invention exploits the discovery that reduced high-frequency EEG intensity, particularly as shown by the upper spectral edge frequency, is a good indicator of cerebral white matter neural injury and is well correlated with MRI results. With more experience of clinical cases, a set of simple rules such as “if the spectral edge value is below 8 Hz there is a high likelihood of injury” may be validated, yet the EEG technology involved is largely invisible to the user. In the invention, EEG signals are processed by software to obtain, store, and graphically display bilaterally collected EEG spectral edge and intensity values over from hours to weeks. Rejection of corrupted signals by filtering and gating means is responsive to incoming signal characteristics, to additional inputs such as motion sensors or impedance tests, and to patient data (gestational age in particular). The invention includes the software and methods of use.

A method for providing access to data items from a distributed storage system is provided. Each data item is replicated across a plurality of storage nodes. Data items are read from the distributed storage system by selecting between a first reading mode, comprising attempting to read the data item from a set of the storage nodes to check for data item consistency across at least a quorum of the set of nodes, and a second reading mode, comprising reading the data item from at least one of the storage nodes. The reading mode is selected according to at least one detected characteristic of system status of the distributed storage system. The second reading mode is selected when the detected characteristic indicates a higher likelihood of data item consistency, and the first reading mode is selected when the detected characteristic indicates a lower likelihood of data item consistency.

In a power supply device of the invention, when the state of charge SOC1 of a low-voltage battery is lower than a discharging reference value Shi1 below a full charge level and when the state of charge SOC2 of a high-voltage battery is not lower than a discharging reference value Slow2 at a system-off time, the low-voltage battery is charged close to its full charge level with the electric power supplied from the high-voltage battery. The lead acid battery used for the low-voltage battery has the high potential for deterioration in the continuously low state of charge SOC. The lithium secondary battery used for the high-voltage battery has the high potential for deterioration in the continuously high state of charge SOC. The charge of the low-voltage battery in combination with the discharge of the high-voltage battery enables both the low-voltage battery and the high-voltage battery to have respective favorable states of charge with little potentials for deterioration. The technique of the invention thus effectively prevents quick deterioration of both the low-voltage battery and the high-voltage battery.

A method of machine translation, using a bilingual corpus containing translation pairs each consisting of a sentence of a first language and a sentence of a second language, for translating an input sentence of the first language to the second language, including the steps of: receiving the input sentence of the first language and extracting, from the bilingual corpus, a sentence of the second language forming a pair with a sentence of the first language with highest similarity to the input sentence; applying an arbitrary modification among a plurality of predetermined modifications to the extracted sentence of the second language, and computing likelihood of sentences resulting from the modification; selecting a prescribed number of sentences having high likelihood from among the sentences resulting from the modification; repeating, on each of the sentences selected in the step of selecting, the steps of extracting, computing and selecting, until the likelihood no longer improves; and outputting, as a translation of the input sentence, a sentence having the highest likelihood among the sentences of the second language left at the end of the step of repeating.

Proposed is a method, implemented in software, for estimating fault state of an apparatus outfitted with sensors. At each execution period the method processes sensor data from the apparatus to obtain a set of parity parameters, which are further used for estimating fault state. The estimation method formulates a convex optimization problem for each fault hypothesis and employs a convex solver to compute fault parameter estimates and fault likelihoods for each fault hypothesis. The highest likelihoods and corresponding parameter estimates are transmitted to a display device or an automated decision and control system. The obtained accurate estimate of fault state can be used to improve safety, performance, or maintenance processes for the apparatus.

A pitch estimating method and apparatus in which mixture Gaussian distributions based on candidate pitches having high period estimating values are generated, a mixture Gaussian distribution having a high likelihood is selected and dynamic programming is executed so that the pitch of the speech signal can be accurately estimated. The pitch estimating method comprises computing a normalized autocorrelation function of a windowed signal obtained by multiplying a frame of a speech signal by a window signal and determining candidate pitches from a peak value of the normalized autocorrelation function of the windowed signal, interpolating a period of the determined candidate pitches and a period estimating value representing a length of the period, generating Gaussian distributions for the candidate pitches for each frame for which the interpolated period estimating value is greater than a first threshold value, mixing the Gaussian distributions which are located at a distance less than a second threshold value to generate mixture Gaussian distributions and selecting at least one of the mixture Gaussian distributions that a likelihood exceeding a third threshold value, and executing dynamic programming for the frames to estimate the pitch of each frame, based on the candidate pitches of each of the frames and the selected mixture Gaussian distributions.

A pitch estimating method and apparatus in which mixture Gaussian distributions based on candidate pitches having high period estimating values are generated, a mixture Gaussian distribution having a high likelihood is selected and dynamic programming is executed so that the pitch of the speech signal can be accurately estimated. The pitch estimating method comprises computing a normalized autocorrelation function of a windowed signal obtained by multiplying a frame of a speech signal by a window signal and determining candidate pitches from a peak value of the normalized autocorrelation function of the windowed signal, interpolating a period of the determined candidate pitches and a period estimating value representing a length of the period, generating Gaussian distributions for the candidate pitches for each frame for which the interpolated period estimating value is greater than a first threshold value, mixing the Gaussian distributions which are located at a distance less than a second threshold value to generate mixture Gaussian distributions and selecting at least one of the mixture Gaussian distributions that a likelihood exceeding a third threshold value, and executing dynamic programming for the frames to estimate the pitch of each frame, based on the candidate pitches of each of the frames and the selected mixture Gaussian distributions.

The invention is directed to a method of prognosing in an individual a transformation from follicular lymphoma to diffuse large B-cell lymphoma (DLBCL) by measuring changes and / or lack of changes in certain groups of related clonotypes, referred to herein as “clans,” in successive clonotype profiles of the individual. A clan may arise from a single lymphocyte progenitor that gives rise to many related lymphocyte progeny, each possessing and / or expressing a slightly different immunoglobulin receptor due to somatic mutation(s), such as base substitutions, inversions, related rearrangements resulting in common V(D)J gene segment usage, or the like. A higher likelihood of transformation from follicular lymphoma to DLBCL is correlated with the persistence of clans in successive clonotype profiles whose clonotype membership fails to undergo diversification over time.

In a disk array of the RAID constitution, a likelihood of occurrence of a failure is predicted from the number of times of error occurrence for each of disk drives #0 to #3 in a certain parity group. Two storage areas #0_UH and #2_LH of a half size, which are different in data stripes from each other, are selected from two disk drives #0 and #2 having a relatively high likelihood of occurrence of a failure, respectively, and the data thereof is copied to a spare disk #A (divided data copy). When the likelihood of occurrence of a failure of one disk drive #0 further increases, the remaining half storage area #OLH of the disk drive #0 is copied to the spare disk #A (dynamic sparing). Dynamic sparing time is reduced and a likelihood of data lost due to a multiple disk failure by employing the divided data copy processing.

A method and system for efficiently detecting faces within a digital image. One example method includes identifying a digital image comprised of a plurality of sub-windows and performing a first scan of the digital image using a coarse detection level to eliminate the sub-windows that have a low likelihood of representing a face. The subset of the sub-windows that were not eliminated during the first scan are then scanned a second time using a fine detection level having a higher accuracy level than the coarse detection level used during the first scan to identify sub-windows having a high likelihood of representing a face.