Patent application number | Description | Published |
20080220979 | Rapid Method To Detect Nucleic Acid Molecules - This invention relates to the field of detecting nucleic acid molecules using microarrays. The invention provides a method for detecting a target nucleic acid molecule in a biological sample by hybridizing a cell lysate directly probes immobilized on microarrays without any nucleic acid purification. | 09-11-2008 |
20110185070 | METHOD AND DEVICE OF SESSION CONTROL - A method and device of session control are used to resolve the problem that when there is a failure in the session control function bound with the user, the UE can not re-login in time or the session can not be continued. In the flow of the user initial login, an address information of P-CSCF bound with the user in HSS is saved, so that when the user is called, an available S-CSCF can get the address information of P-CSCF bound with the called user from the HSS, and inform the user to do re-initial login according to the address information of P-CSCF or complete the session continuation; further, the address information of the user in D-HSS is saved, so that when the user is called, an available A-CSCF can get the address information of the called user from the D-HSS, and inform the user to do re-initial login according to the address information of the called user or complete the session continuation. | 07-28-2011 |
20120226696 | Keyword Generation for Media Content - In various embodiments, a transcript that represents a media file is created. Keyword candidates that may represent topics and/or content associated with the media content are then be extracted from the transcript. Furthermore, a keyword set may be generated for the media content utilizing a mutual information criteria. In other embodiments, one or more queries may be generated based at least in part on the transcript, and a plurality of web documents may be retrieved based at least in part on the one or more queries. Additional keyword candidates may be extracted from each web document and then ranked. A subset of the keyword candidates may then be selected to form a keyword set associated with the media content. | 09-06-2012 |
20130012622 | INK FOR INKJET COMPUTER-TO-PLATE AND PREPARATION METHOD OF THE SAME - An ink for inkjet computer-to-plate and a preparation method of the same are provided. Calculated in mass percentage based on the total mass of the ink, the ink comprises 10%˜30% of cross-linkable resin, 10%˜35% of solvent with a low boiling point, 5%˜30% of poor solvent with a high boiling point and 5%˜75% of bulk solvent. The preparation method comprises the following steps: mixing the above components and agitating at room temperature; after the cross-linkable resin is dissolved, ball milling and filtrating to remove insoluble substance and/or impurities in the liquid obtained by the ball milling. The ink can be formed into an image by printing on the treated surface of aluminum plate using ink jetprinter, and after heat cured, it can form an image with a high resolution and be used to print directly on machine, thus reducing post treatment process and obtaining the plate of ink jettingdirect plate-making. | 01-10-2013 |
20130138436 | DISCRIMINATIVE PRETRAINING OF DEEP NEURAL NETWORKS - Discriminative pretraining technique embodiments are presented that pretrain the hidden layers of a Deep Neural Network (DNN). In general, a one-hidden-layer neural network is trained first using labels discriminatively with error back-propagation (BP). Then, after discarding an output layer in the previous one-hidden-layer neural network, another randomly initialized hidden layer is added on top of the previously trained hidden layer along with a new output layer that represents the targets for classification or recognition. The resulting multiple-hidden-layer DNN is then discriminatively trained using the same strategy, and so on until the desired number of hidden layers is reached. This produces a pretrained DNN. The discriminative pretraining technique embodiments have the advantage of bringing the DNN layer weights close to a good local optimum, while still leaving them in a range with a high gradient so that they can be fine-tuned effectively. | 05-30-2013 |
20130138589 | EXPLOITING SPARSENESS IN TRAINING DEEP NEURAL NETWORKS - Deep Neural Network (DNN) training technique embodiments are presented that train a DNN while exploiting the sparseness of non-zero hidden layer interconnection weight values. Generally, a fully connected DNN is initially trained by sweeping through a full training set a number of times. Then, for the most part, only the interconnections whose weight magnitudes exceed a minimum weight threshold are considered in further training. This minimum weight threshold can be established as a value that results in only a prescribed maximum number of interconnections being considered when setting interconnection weight values via an error back-propagation procedure during the training. It is noted that the continued DNN training tends to converge much faster than the initial training. | 05-30-2013 |
20130203611 | AUTOMATIC SLIDE LOADING DEVICE FOR MICRO ARRAY SCANNER AND ITS METHODS OF USE - An automatic slide loading device for microarray scanner comprises slide holders ( | 08-08-2013 |
20140142929 | DEEP NEURAL NETWORKS TRAINING FOR SPEECH AND PATTERN RECOGNITION - The use of a pipelined algorithm that performs parallelized computations to train deep neural networks (DNNs) for performing data analysis may reduce training time. The DNNs may be one of context-independent DNNs or context-dependent DNNs. The training may include partitioning training data into sample batches of a specific batch size. The partitioning may be performed based on rates of data transfers between processors that execute the pipelined algorithm, considerations of accuracy and convergence, and the execution speed of each processor. Other techniques for training may include grouping layers of the DNNs for processing on a single processor, distributing a layer of the DNNs to multiple processors for processing, or modifying an execution order of steps in the pipelined algorithm. | 05-22-2014 |
20140257803 | CONSERVATIVELY ADAPTING A DEEP NEURAL NETWORK IN A RECOGNITION SYSTEM - Various technologies described herein pertain to conservatively adapting a deep neural network (DNN) in a recognition system for a particular user or context. A DNN is employed to output a probability distribution over models of context-dependent units responsive to receipt of captured user input. The DNN is adapted for a particular user based upon the captured user input, wherein the adaption is undertaken conservatively such that a deviation between outputs of the adapted DNN and the unadapted DNN is constrained. | 09-11-2014 |
20140323501 | AMINO-PROPYLENE-GLYCOL DERIVATIVES, PREPARATION METHOD AND PHARMACEUTICAL COMPOSITION AND USE THEREOF - Immune-modulators of formula (I) below are prepared: | 10-30-2014 |
20140356532 | COATING MATERIAL FOR ALUMINUM SUBSTRATE FOR INKJET COMPUTER-TO-PLATE AND PREPARATION AND USE OF SAME - A coating material for an aluminum substrate for inkjet computer-to-plate and preparation method and use of same. The composition of the coating material is: high polymer 5-40 wt %; nano-sized and/or micro-sized oxide particles 5-30 wt %; organic solvent constituting the remainder. The high polymer is at least one selected from the group consisting of MMA-BMA-MA terpolymer resin, phenolic resin, epoxy resin, polyurethane, polyester, urea-formaldehyde resin, polyvinyl formal, polyvinyl butyral and gum arabic. The preparation method for obtaining the coating material is to mix the ingredients together and stir at room temperature. A spin coating method or a roll coating method is used to coat the coating material onto a clean aluminum substrate having not undergone electrolytic graining and anodic oxidation treatment, and then the substrate is baked, resulting in the required roughness. | 12-04-2014 |
20140379565 | METHOD AND SYSTEM FOR PAYMENT THROUGH MOBILE DEVICES - Processing payment through a mobile device includes: receiving a command; generating a payment request based on the command and send the payment request to be processed by a lower layer payment program; and monitoring the payment request sent from the localhost address of the mobile device via the predetermined port; in response to the payment request, providing an input interface for payment information in and receive the input payment information; using the lower layer payment program to connect with a payment server and pass the payment information over a network to the payment server; using the lower layer payment program to transfer a payment processing result received from the payment server, to the upper layer application program; and after the upper layer application program has been unblocked, presenting to a user an indication of whether the payment has been successfully processed. | 12-25-2014 |