Patent application number | Description | Published |
20120117115 | System And Method For Supporting Targeted Sharing And Early Curation Of Information - A system and method for supporting targeted sharing and early curation of information is provided. A digital data item selection by a user within a personal information management client is identified. One or more documents in a shared information repository similar to the digital data item are recommended including selecting recommendation criteria. The recommendation criteria are applied to the digital data item and the one or more documents. The one or more documents satisfying the recommendation criteria are identified as the similar documents. The similar documents are displayed visually proximate to the digital data item in the personal information client. A selection of one of the similar documents is received and the selected similar document in the shared information repository is updated with the digital data item. | 05-10-2012 |
20120117484 | System And Method For Providing Mixed-Initiative Curation Of Information Within A Shared Repository - A system and method for providing mixed-initiative curation of information within a shared repository is provided. Static content is retrieved from a shared storage associated with a shared information management client. Dynamic content including one or more information items satisfying a similarity threshold with the static content is identified as similar dynamic content. An interactive visualization is generated within the shared information management client from information extracted from the static content and the similar dynamic content. The interactive visualization of the information is linked with the static content and the similar dynamic content. A selection of the information of the similar dynamic content is received from within the visualization. The static content in the shared storage is updated with the similar dynamic content linked with the selected information. | 05-10-2012 |
20130262059 | MODEL FOR USE OF DATA STREAMS OF OCCUPANCY THAT ARE SUSCEPTIBLE TO MISSING DATA - A system and method for generating an occupancy model are disclosed. The model is learned using occupancy data for zones, each zone including cells, which are occupied or not at a given time, each with a sensor, which may be reporting or not. The data provides an observed occupancy corresponding to a number of cells in the respective zone which have reporting sensors, and the number of those sensors which are reporting that the respective cell is occupied. The occupancy model is based on a demand model and a sensor noise model which accounts for behavior of the non-reporting sensors. The noise model assumes that the probability of a sensor being in the reporting state is dependent on whether the respective cell is occupied or not. The model can fit the occupancy data better than one which assumes that non-reporting cells are occupied with the same frequency as reporting ones. | 10-03-2013 |
20130325401 | ADAPTIVE WEIGHTED STOCHASTIC GRADIENT DESCENT - A system and method for solving an optimization problem are disclosed which are based on adaptive weighted stochastic gradient descent. The method includes receiving data to be sampled in optimizing an integral of a second function and, for a number of iterations, sampling the data according to a modified distribution function which depends on at least one parameter, updating at least one parameter of the second function, and updating at least one parameter of the modified distribution function. In a subsequent one of the iterations, the modified distribution function used in sampling the data is based on the updated at least one parameter of the distribution function. Information is output, which can be based on the integral function with the at least one updated parameter. | 12-05-2013 |
20130338999 | JOINT ALGORITHM FOR SAMPLING AND OPTIMIZATION AND NATURAL LANGUAGE PROCESSING APPLICATIONS OF SAME - In rejection sampling of a function or distribution p over a space X, a proposal distribution q | 12-19-2013 |
20140180651 | USER PROFILING FOR ESTIMATING PRINTING PERFORMANCE - A computer-implemented system and method compute a reference behavior for a user, such as a new user of a set of shared devices or services. The method includes acquiring usage data for an initial set of users of the devices and extracting features from the usage data. A model is learned with the extracted features for predicting a user role profile for a new user based on features extracted from the new user's usage data. The user role profile associates the user with at least one of a set of roles. A new user's usage data is received and, with the trained model, a user role profile is predicting for the new user based on features extracted from the new user's usage data. A reference behavior is computed for the user based on the predicted user role profile and the reference behaviors for roles in the set of roles. | 06-26-2014 |
20160004664 | BINARY TENSOR FACTORIZATION - In factorization of binary matrices or tensors, training algorithms usually scale linearly with the number of training examples. For very unbalanced learning problems, the number of non-zero training examples can be much smaller than the number of zeros in the full dataset. For some problems where the squared norm can be efficiently computed, the training time complexity can be reduced. A method herein receives a binary tensor defined by matrices comprising elements in a database. A processing device determines an upper bound for non-quadratic losses associated with factorization of the binary tensor. The upper bound is based on a variation parameter. The processing device performs factorization of the binary tensor by alternately minimizing the upper bound with respect to the variation parameter and minimizing the upper bound with respect to the elements of the matrices using a gradient descent method. | 01-07-2016 |
20160026925 | OVERLAPPING TRACE NORMS FOR MULTI-VIEW LEARNING - In multi-view learning, optimized prediction matrices are determined for V≧2 views of n objects, and a prediction of a view of an object is generated based on the optimized prediction matrix for that view. An objective | 01-28-2016 |
Patent application number | Description | Published |
20100194742 | ADAPTIVE GRAND TOUR - A system and method of generating a dynamic visualization of a multi-dimensional dataset of data-points are disclosed. The method is an adaptation of the Grand Tour approach, but instead of using all possible projections comprising at least one data point, some of which may not be useful, the method includes generating a set of candidate projections from the space of all possible projections. The set of candidate projections is approximated with a one dimensional smoothed curve and the dynamic visualization is generated, based on a sequence of projections taken along the smoothed curve. | 08-05-2010 |
20100210358 | MODIFICATION OF IMAGES FROM A USER'S ALBUM FOR SPOT-THE-DIFFERENCES - A computer implemented system and method for generating a game, such as spot-the-difference are provided. The method includes receiving a user-selected original image and storing the image in memory. From the original image, the method includes automatically generating a pair of images which are visually identical except for a predetermined number of random localized modifications, and providing the pair of images to the user as a game which can be played by spotting differences between the pair of images as a result of the modifications. | 08-19-2010 |
20100318490 | SPLIT VARIATIONAL INFERENCE - A method comprises: partitioning a region of interest into a plurality of soft bin regions that span the region of interest; estimating an integral over each soft bin region of a function defined over the region of interest; and outputting a value equal to or derived from the sum of the estimated integrals over the soft bin regions spanning the region of interest. The method may further comprise: integrating a Bayesian theorem function using the partitioning, estimating, and outputting operations, and classifying an object to be classified using a classifier trained using the Bayesian machine learning. The method may further comprise performing optimal control by iteratively minimizing a controlled system cost function to determine optimized control inputs using the partitioning, estimating, and outputting with the function equal to the controlled system cost function having the selected control inputs, and controlling the controlled system using the optimized control inputs. | 12-16-2010 |
20110075191 | AUTOMATIC GENERATION OF DEVICE-CENTRIC DISTRIBUTION LISTS - A method and system for managing distribution lists rely on the collection of job log data from shared devices, such as networked printers. For each printer, a usage community comprising users of the shared device, can be determined, based at least in part on the job log data. At least one distribution list of users is generated, based on the usage community. The distribution list can be linked with a mailer program, whereby users in the usage community are grouped together under a common contact address. Updating the distribution list at intervals to reflect changes in the usage community allows a static email address to be used for a varying group of users. | 03-31-2011 |
20120095952 | COLLAPSED GIBBS SAMPLER FOR SPARSE TOPIC MODELS AND DISCRETE MATRIX FACTORIZATION - In an inference system for organizing a corpus of objects, feature representations are generated comprising distributions over a set of features corresponding to the objects. A topic model defining a set of topics is inferred by performing latent Dirichlet allocation (LDA) with an Indian Buffet Process (IBP) compound Dirichlet prior probability distribution. The inference is performed using a collapsed Gibbs sampling algorithm by iteratively sampling (1) topic allocation variables of the LDA and (2) binary activation variables of the IBP compound Dirichlet prior In some embodiments the inference is configured such that each inferred topic model is a clean topic model with topics defined as distributions over sub-sets of the set of features selected by the prior. In some embodiments the inference is configured such that the inferred topic model associates a focused sub-set of the set of topics to each object of the training corpus. | 04-19-2012 |
20130096877 | REJECTION SAMPLING OF A COMPLEX DISTRIBUTION INCLUDING BOUND AND PROPOSAL DISTRIBUTION REFINEMENT - Iterative rejection sampling is performed on a domain in accordance with a target distribution. The domain is partitioned to define a partition comprising partition elements, and each iteration of the rejection sampling includes selecting a partition element from the partition in accordance with partition element selection probabilities. A sample of the domain is acquired in the selected partition element according to a normalized proposal distribution that is associated with and normalized over the selected partition element. The acquired sample is accepted or rejected based on the target distribution and a bound associated with the selected partition element. During the iterative rejection sampling, the partition is adapted by replacing a partition element of the partition with two or more split partition elements, associating bounds with the split partition elements, and computing partition element selection probabilities for the split partition elements. | 04-18-2013 |
Patent application number | Description | Published |
20120113124 | ADAPTIVE GRAND TOUR - A system and method of generating a dynamic visualization of a multi-dimensional dataset of data-points are disclosed. The method is an adaptation of the Grand Tour approach, but instead of using all possible projections comprising at least one data point, some of which may not be useful, the method includes generating a set of candidate projections from the space of all possible projections. The set of candidate projections is approximated with a one dimensional smoothed curve and the dynamic visualization is generated, based on a sequence of projections taken along the smoothed curve. | 05-10-2012 |
20130145187 | MULTI-DEVICE POWERSAVING - A control system reduces energy consumption in a multi-device system comprising a plurality of devices. The control system includes at least one processor. The processor is programmed to receive a job to be executed, as well as a selection of one of the plurality of devices for executing the job and a transfer cost for transferring the job from the selected device to each of the plurality of devices. A device to execute the job is determined through optimization of a first cost function. The first cost function is based on the device selection and the transfer costs. The job is assigned to the determined device and a time-out for each device in the multi-device system is determined through optimization of a second cost function. The second cost function is based on an expected energy consumption by the multi-device system. The devices are provided with the determined time-outs. | 06-06-2013 |
20130317742 | SYSTEM AND METHOD FOR ESTIMATING ORIGINS AND DESTINATIONS FROM IDENTIFIED END-POINT TIME-LOCATION STAMPS - A method and system are disclosed for estimating origin and destination locations of users of a transportation system. The origins and destinations of known users are determined during a segment of an analysis period from validation information for all users of the transportation system. The origins and destinations are then mapped to probable locations associated with the transportation network. A destination probability is then computed for each destination location of an individual origin location. A unknown users are then apportioned to each destination, which may be based on the number of unknown users on a vehicle traveling from the origin to the destination, the computed probability, and the validation information, so as to estimate the number of users traveling from an origin location to any corresponding destination location on the transportation system. | 11-28-2013 |
20130325781 | Tensor trace norm and inference systems and recommender systems using same - A convex regularized loss function is minimized respective to a prediction tensor of order K to generate an optimized prediction tensor of order K where K>2. The convex regularized loss function comprises a linear combination of (i) a loss function comparing the prediction tensor and an observation tensor of order K representing a set of observations and (ii) a regularization parameter including a K-th order matrix norm decomposition of the tensor trace norm of the prediction tensor. In some such embodiments, the observation tensor of order K represents a set of social network observations and includes at least dimensions corresponding to (1) users, (2) items, and (3) tags. The optimized prediction tensor of order K is suitably used to perform inference operations. | 12-05-2013 |
20150019912 | ERROR PREDICTION WITH PARTIAL FEEDBACK - A method for performing data processing through a pipeline of components includes receiving a set of training observations, each including partial user feedback relating to error in data output by the pipeline for respective input data. Some pipeline components commit errors for at least some of the input data, contributing to an error in the respective output data. A prediction model models a probability of a pipeline component committing an error, given input data. Model parameters are learned using the training observations. For a new observation which includes input data and, optionally, partial user feedback indicating that an error has occurred in processing the new input data, without specifying which pipeline component(s) contributed to the observed error in the output data, a prediction is made as to which of the pipeline components contributed to the error in the output (if any). | 01-15-2015 |
20150205756 | NUMERICAL INTEGRATION USING VARIATIONAL HOLDER'S INEQUALITY - Given the integral Z:= | 07-23-2015 |
20160070697 | LANGUAGE MODEL WITH STRUCTURED PENALTY - A penalized loss is optimized using a corpus of language samples respective to a set of parameters of a language model. The penalized loss includes a function measuring predictive accuracy of the language model respective to the corpus of language samples and a penalty comprising a tree-structured norm. The trained language model with optimized values for the parameters generated by the optimizing is applied to predict a symbol following sequence of symbols of the language modeled by the language model. In some embodiments the penalty comprises a tree-structured l | 03-10-2016 |
Patent application number | Description | Published |
20090036431 | Cytotoxic Agents Comprising New Tomaymycin Derivatives - The present invention is related to new tomaymycin derivatives, their process of preparation and their therapeutic uses. | 02-05-2009 |
20090253697 | Novel Indole Derivatives, Preparation Thereof as Medicinal Products and Pharmaceutical Compositions, and Especially as KDR Inhibitors - The disclosure relates to compounds of formula (I): | 10-08-2009 |
20100316656 | CYTOTOXIC AGENTS COMPRISING NEW TOMAYMYCIN DERIVATIVES AND THEIR THERAPEUTIC USE - The invention relates to novel tomaymicine derivatives comprising a linker. It also relates to the conjugate molecules that comprise one or more of said tomaymicine derivatives covalently linked to a cell binding agent through a linking group that is present on the linker of the tomaymycin derivative. It also relates to the preparation of the tomaymicine derivatives and of the conjugate molecules. | 12-16-2010 |
20110002947 | LEPTOMYCIN DERIVATIVES - Leptomycin derivatives having a moiety, such as a sulfide or a disulfide, that can conjugate to a cell binding reagent such as an antibody are disclosed. The therapeutic use of such leptomycin derivative conjugates is also described; such conjugates have therapeutic use because they can deliver cytotoxic leptomycin derivatives to a specific cell population in a targeted fashion. | 01-06-2011 |
20120201828 | ANTIBODIES THAT SPECIFICALLY BIND TO THE EPHA2 RECEPTOR - The present disclosure relates to an antibody or an epitope-binding fragment thereof that specifically binds to an EphA2 receptor. It further relates to a conjugate comprising a cytotoxic agent which is co-valently bound to the antibody and a method for preparing such a conjugate. | 08-09-2012 |
20150044197 | ANTIBODIES THAT SPECIFICALLY BIND TO THE EPHA2 RECEPTOR - The present disclosure relates to an antibody or an epitope-binding fragment thereof that specifically binds to an EphA2 receptor. It further relates to a conjugate comprising a cytotoxic agent which is covalently bound to the antibody and a method for preparing such a conjugate. | 02-12-2015 |
Patent application number | Description | Published |
20100252637 | SEMI-RIGID RADIO FREQUENCY IDENTIFICATION (RFID) CARD, MANUFACTURING METHOD AND MACHINE FOR ITS PRODUCTION - The invention comprises an RFID card consisting of at least one upper layer, one lower layer, one functional layer comprising at least one electronic component, an antenna connected to the electronic component, wherein the card also comprises a compensator between the functional layer and the lower layer, the compensator being recessed at the location of the electronic component and of thickness substantially equal to the thickness of the electronic component on the functional layer and in that the layers are assembled together by adhesion. The invention also comprises the continuous manufacturing method of the RFID card and the machine according to the manufacturing method of the RFID card. | 10-07-2010 |
20100253523 | RADIO FREQUENCY IDENTIFICATION (RFID) LABEL AND METHOD FOR MAKING THE LABEL - The invention consists in an RFID label consisting of at least: one functional layer comprising at least one electronic component, one antenna connected to the electronic component; one upper layer; one lower layer having an adhesive surface; wherein the upper and lower layers consist of one or more materials capable of resisting to ultraviolet radiation and/or of filtering the ultraviolet radiation. The invention also includes the method for manufacturing the RFID label and the machine applying the method for manufacturing the RFID label. | 10-07-2010 |
20140021263 | RADIO FREQUENCY IDENTIFICATION (RFID) LABEL AND METHOD FOR MAKING THE LABEL - The invention consists in an RFID label consisting of at least: one functional layer comprising at least one electronic component, one antenna connected to the electronic component; one upper layer; one lower layer having an adhesive surface; wherein the upper and lower layers consist of one or more materials capable of resisting to ultraviolet radiation and/or of filtering the ultraviolet radiation. The invention also includes the method for manufacturing the RFID label and the machine applying the method for manufacturing the RFID label. | 01-23-2014 |