53 results about "Multiple hypothesis" patented technology

In language evaluation systems, user expressions are often evaluated by speech recognizers and language parsers, and among several possible translations, a highest-probability translation is selected and added to a dialogue sequence. However, such systems may exhibit inadequacies by discarding alternative translations that may initially exhibit a lower probability, but that may have a higher probability when evaluated in the full context of the dialogue, including subsequent expressions. Presented herein are techniques for communicating with a user by formulating a dialogue hypothesis set identifying hypothesis probabilities for a set of dialogue hypotheses, using generative and/or discriminative models, and repeatedly re-ranks the dialogue hypotheses based on subsequent expressions. Additionally, knowledge sources may inform a model-based with a pre-knowledge fetch that facilitates pruning of the hypothesis search space at an early stage, thereby enhancing the accuracy of language parsing while also reducing the latency of the expression evaluation and economizing computing resources.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A system and method for predicting an inter-layer predicted slice of image data from at least two different reference layers, where the inter-layer predicted slice of image data itself resides on yet another layer, different from either of the two reference layers. At least one coded block from the inter-layer predicted slice of image data is encoded with an indication, indicating to a decoder that the at least one coded block is to be inter-layer multi-predicted from the at least two different reference layers. Identifications and corresponding prediction weights of the at least two different reference layers are also signaled to the decoder either in the coded block itself, or in the inter-layer predicted slice of image data.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A method and process provides structure recognition to a node-link diagram formed by a plurality of digital ink strokes drawn on a canvas of an electronic device by an input device. The method and process include grouping related strokes into multiple hypotheses reflecting structure interpretations of the strokes in a group. Confidence scores are computed for the multiple hypotheses based on local evidence regarding the strokes of the stroke groups and surrounding strokes. Constraints are applied among the hypotheses, and a collectively high scoring assignment of accept/reject values of the hypotheses are determined under the applied constraints. The hypotheses with collectively high scoring assignments are accepted as a representation of the node-link diagram, where structure information is provided to the strokes of the node-link diagram, making the node-link diagram electronically editable.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

The invention discloses a foundation pile foundation model analyzing method and a test device for the same. The method includes: building a dispersing spring support model of to-be-tested pile-earth related actions, building a to-be-tested pile inner force and deformation equation and transmission matrix, and a to-be-tested pile foundation reaction analyzing basic equation, building different founding reaction models and programming a corresponding computerizing program, arranging the foundation pile foundation test device in the field, measuring horizontal displacement and turning angle, on the ground, of the to-be-tested pile, and computerizing and analyzing according to the computerizing program to determine corresponding foundation reaction model parameters. The foundation pile foundation test device comprises a standard beam, a standard pile, a reaction pile and the to-be-tested pile which are disposed on the ground, a jack and a force sensor are connected between the reaction pile and the to-be-tested pile, and a angle measuring device and a displacement measuring device are disposed on the to-be-tested pile. By on-site pile testing, multiple hypothesis models can be built for the foundation pile foundation, related model parameters can be determined, and certain universality is achieved.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

A fire control system for a boost phase threat missile includes sensors for generating target-missile representative signals, and a multi-hypothesis track filter, which estimates the states of various target hypotheses. The estimated states are typed to generate hypotheses and their likelihoods. The states, hypotheses and likelihoods are applied to a multihypothesis track filter, and the resulting propagated states are applied to an engagement planner, together with the hypotheses and likelihoods. The engagement planner initializes the interceptor(s). Interceptor guidance uses the initialization and the propagated states and typing information to command the interceptor.

The invention provides a method that enables a search and browse of a document image group through the application of a document structure analysis technique and a character recognition technique as searching/browsing means for paper documents and document images. A highly functional document image search/browse system separates an OCR and a document processing apparatus, adopts as OCR output formats data (reading hypothesis data) holding multiple hypotheses of character line extraction, character segmentation and character recognition, and document structure data having ruled line information, frame information, character line information, browse attribute information and the like about a document image, and provides a function of important keyword extraction and document search from typed and handwritten character strings using OCR-added data, and of document display intended by a browser using the document structure data.

A method and apparatus for decoding encoded data bits of a wireless communication transmission are provided. A set of a-priori bit values corresponding to known bit values of the encoded data bits may be generated. Decoding paths that correspond to decoded data bits that are inconsistent with the a-priori bit values may be removed from the possible decoding paths to consider, and decoding the encoded data bits by selecting a decoding path from remaining decoding paths of the possible decoding paths that were not removed. Multiple hypotheses, each corresponding to a different set of a-prior bit values may be evaluated, with the decoded data for a hypothesis selected based on the evaluation output for further processing.

A method and system for correcting butting artifacts in x-ray images is disclosed. In order to correct a butting artifact in an x-ray image, a butting artifact region in the x-ray image is normalized. Multiple intensity shift estimators are calculated for each pixel of each line of the butting artifact. Confidence intervals are calculated for each intensity shift estimator. A multiple hypothesis hidden Markov model (MH-HMM) is formulated based on the intensity shift operators and confidence measures subject to a smoothness constraint, and the MH-HMM is solved to determine intensity shift values for each pixel. A corrected image is generated by adjusting the intensity of each pixel of the butting artifact based on the intensity shift value for that pixel.

The invention discloses a position estimation optimization method for advanced receiver autonomous integrity monitoring. The invention puts forwards an optimization method for position estimation in allusion to the availability of advanced receiver autonomous integrity monitoring. When a positioning result obtained according to the traditional method in ARAIM (Advanced Receiver Autonomous Integrity Monitoring) does not satisfy an available criterion, a constellation weighted positioning result is adopted to replace the original positioning result within an allowable range of the positioning precision, and the protection level and effective monitoring threshold are recalculated. The method can reduce the difference in positioning precision of different constellations and improve the availability of ARAIM. The method has the characteristics of low computation complexity and good compatibility. The method is suitable for autonomous integrity monitoring of satellite navigation receivers, and the same idea is applicable to other signal systems adopting multiple hypothesis solution separation.

The invention belongs to the technical field of image encoding and decoding and discloses a differential image compression perception reconfiguration method based on multi-hypothesis weighting and an intelligent terminal. A cross-block-based block compression sensing process is used to sample an original image to obtain a measurement value. A non-local means fully differential iterative reconstruction algorithm is used to carry out iterative reconfiguration processing on the obtained measurement value, and an initial image reconstruction value is obtained. The multiple-hypothesis set acquisition processing is carried out on a current reconstruction value, and the optimized filtering processing is carried out on an obtained multi-hypothesis set to eliminate an inferior hypothesis. The optimized multi-hypothesis set is processed by using a weight estimation model based on an elastic network, a multi-hypothesis weight matrix is obtained, the weighted summation processing is carried out on the multiple hypotheses to obtain side information, and a more accurate iteration initial value is provided for subsequent iterations. According to the method and the intelligent terminal, the spatial correlation of the image is effectively used, the multi-hypothesis weighting processing is used to effectively relieve an over-smoothing problem of a past reconstruction algorithm, and the image reconstruction quality is greatly improved.

The invention provides a coding and decoding method, device and equipment, and the method comprises the steps: determining that a multi-hypothesis mode is allowed to be started if the feature information of a current block meets a specific condition; after the multi-hypothesis mode is started, acquiring first motion information and second motion information corresponding to the current block, wherein the first motion information comprises a first target reference frame and a first motion vector, and the second motion information comprises a second target reference frame and a second motion vector, the first target reference frame is consistent with the second target reference frame, and the difference between the second motion vector and the first motion vector does not exceed a first threshold; and encoding or decoding the current block according to the first motion information and the second motion information. Through the technical scheme of the invention, the coding performance isimproved.