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3822 results about "Pruning" patented technology

Pruning is a horticultural and silvicultural practice involving the selective removal of certain parts of a plant, such as branches, buds, or roots. Reasons to prune plants include deadwood removal, shaping (by controlling or redirecting growth), improving or sustaining health, reducing risk from falling branches, preparing nursery specimens for transplanting, and both harvesting and increasing the yield or quality of flowers and fruits.

Methods and apparatus related to pruning for concatenative text-to-speech synthesis

The present invention provides, among other things, automatic identification of near-redundant units in a large TTS voice table, identifying which units are distinctive enough to keep and which units are sufficiently redundant to discard. According to an aspect of the invention, pruning is treated as a clustering problem in a suitable feature space. All instances of a given unit (e.g. word or characters expressed as Unicode strings) are mapped onto the feature space, and cluster units in that space using a suitable similarity measure. Since all units in a given cluster are, by construction, closely related from the point of view of the measure used, they are suitably redundant and can be replaced by a single instance. The disclosed method can detect near-redundancy in TTS units in a completely unsupervised manner, based on an original feature extraction and clustering strategy. Each unit can be processed in parallel, and the algorithm is totally scalable, with a pruning factor determinable by a user through the near-redundancy criterion. In an exemplary implementation, a matrix-style modal analysis via Singular Value Decomposition (SVD) is performed on the matrix of the observed instances for the given word unit, resulting in each row of the matrix associated with a feature vector, which can then be clustered using an appropriate closeness measure. Pruning results by mapping each instance to the centroid of its cluster.
Owner:APPLE INC

Deep convolution neural network training method and device

The present invention relates to the field of deep learning techniques, in particular to a deep convolution neural network training method and a device. The deep convolution neural network training method and the device comprise the steps of a, pretraining the DCNN on a large scale data set, and pruning the DCNN; b, performing the migration learning on the pruned DCNN; c, performing the model compression and the pruning on the migrated DCNN with the small-scale target data set, In the process of migrating learning of large-scale source data set to small-scale target data set, the model compression and the pruning are performed on the DCNN by the migration learning method and the advantages of model compression technology, so as to improve the migration learning ability to reduce the risk of overfitting and the deployment difficulty on the small-scale target data set and improve the prediction ability of the model on the target data set.
Owner:SHENZHEN INST OF ADVANCED TECH

Organophilic cultivation method for tea

The invention relates to a method for cultivating tea, particularly the method for organically cultivating tea, which comprises the following processes: (I) establishing an artificial complex ecological organic tea garden; (II) selecting tea seeds of the organic tea garden; (III) planting tea; (IV) seedling stage management; (V) soil management of the organic tea garden; (VI) nutrient management and utilization of the organic tea garden; (VII) pest control of the organic tea garden; (VIII) tea pruning of organic tea. The method for cultivating tea has the following positive effects that: as the organic tea is the inevitable trend of future tea production, the invention regulates organic planting of tea in China and promotes the large-scale development of tea producing areas toward harmlessness and organification; the method for cultivating tea does not rely on advantage factors of microecological nature of producing areas, makes full use of modern technical achievements and has strong technical operability, thereby ensuring the quality of the organic tea.
Owner:四川圣硒贡茗茶业科技有限公司

Providing answers to questions using hypothesis pruning

A method, system and computer program product for generating answers to questions. In one embodiment, the method comprises receiving a query, conducting a search through one or more data sources to identify candidate answers to the query, and providing each of the candidate answers with a preliminary score. The method further comprises filtering out any of the candidate answers with a preliminary score that does not satisfy a defined condition. The candidate answers having preliminary scores that satisfy this condition form a subset of the candidate answers. Each of the candidate answers in this subset is processed to produce further scores. A ranking function is applied to these further scores to determine a ranking for each of the candidate answers in the subset; and after this ranking function is applied, one or more of the candidate answers are selected as one or more final answers to the query.
Owner:IBM CORP

Five-degree of freedom green fence pruning machine

A five-degree of freedom green fence pruning machine comprises a pruning manipulator posture adjusting platform installed in front of a bearing cart, a rotation base which is installed on the pruning manipulator posture adjusting platform and is capable of revolving 360 degrees, an elevating mechanism which is fixedly installed on the rotation base, a telescoping mechanism which is fixed on an elevating rack of the elevating mechanism and is capable of ascending and descending along with the elevating rack, a pruning bit rotating device which is fixed at the front end of the telescoping mechanism and is capable of driving a pruning bit to rotate 360 degrees, a vertical lifting mechanism which is installed on the pruning bit rotating device, a pruning bit inclination-degree adjusting joint which is fixed at the lower end of the vertical lifting mechanism and is capable of ascending and descending along with the vertical lifting mechanism, and the pruning bit which is installed on an output shaft end of the pruning bit inclination-degree adjusting joint. By the pruning machine, the pruning of a plurality of mold modes of road green belts and garden sightseeing trees can be realized, a pruning process is completed automatically, the pruning machine is high in automation degree and simple in mechanical structure, the labor intensity of pruning green fences can be reduced, and work efficiency is improved.
Owner:GUANGXI UNIV

Planting method of Chinese trichosanthes

The invention relates to a planting method of Chinese trichosanthes, belonging to the technical field of plantation and comprising the steps of: variety breeding, seedling reproduction, transplanting, field management, disease and pest control, harvesting and processing, wherein the variety breeding step includes the sub-steps of the tests in different production places, amplification and verification tests, resistance test, field pest investigation and trichosanthes nematode control; the seedling reproduction step includes the sub-steps of seed reproduction and root reproduction; the transplanting step includes the sub-steps of land selection and preparation, ridging, reproduction and planting, planting method implementation and field management; the land selection and preparation step includes the sub-steps of detection on chemical characteristic of soil, basic fertilizer application and disinfection; the reproduction and planting step includes the sub-steps of seed bud selection, rood cutting and breeding, planting and shed putting up; the planting method implementation step includes the sub-steps of planning density control and staminiferous plant matching; the filed management step includes the sub-steps of intertillagement and weeding, top application, shed putting up, pruning and cold prevention, in particular to intertillagement and weeding, root airing, intercrop, earthing, vine supporting and racking, top application, pruning, flower and fruit protection, chemical control and foliage application; and the disease and pest control step includes the sub-steps of control of diseases and pest and control method implementation.
Owner:BOZHOU HUQIAO PHARMA

Pruning robot system

The invention relates to a pruning robot system. The system comprises a signal label device and a robot. The signal label device is used for detecting and storing information of trees and agricultural crops, information positioning and auxiliary positioning. The robot comprises a central processing device, a positioning navigation device, a cloud platform terminal and a map building device. The central processing device is used for storing and analyzing data of each part of the robot and sending a movement instruction to each part of the robot. The positioning navigation device is used for positioning and navigating the robot and planning a path and providing obstacle-avoiding navigation for the robot based on an electronic map. The cloud platform terminal is connected and communicated with the central processing device and is used for storing data of the trees and the crops and detection information of the robot and for planning a movement line for the robot based on information data with a computer experiment. The map building device is used for building a three-dimensional electronic map corresponding to a garden by means of on-site detection and construction through the robot. The pruning robot system achieves positioning in the garden, robot path planning, pruning information collection and automatic pruning.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Method to reduce I/O for hierarchical data partitioning methods

A method and system for generating a decision-tree classifier from a training set of records, independent of the system memory size. The method includes the steps of: generating an attribute list for each attribute of the records, sorting the attribute lists for numeric attributes, and generating a decision tree by repeatedly partitioning the records using the attribute lists. For each node, split points are evaluated to determine the best split test for partitioning the records at the node. Preferably, a gini index and class histograms are used in determining the best splits. The gini index indicates how well a split point separates the records while the class histograms reflect the class distribution of the records at the node. Also, a hash table is built as the attribute list of the split attribute is divided among the child nodes, which is then used for splitting the remaining attribute lists of the node. The method reduces I / O read time by combining the read for partitioning the records at a node with the read required for determining the best split test for the child nodes. Further, it requires writes of the records only at one out of n levels of the decision tree where n> / =2. Finally, a novel data layout on disk minimizes disk seek time. The I / O optimizations work in a general environment for hierarchical data partitioning. They also work in a multi-processor environment. After the generation of the decision tree, any prior art pruning methods may be used for pruning the tree.
Owner:IBM CORP

Method and apparatus for aligning bilingual corpora

A method is provided for aligning sentences in a first corpus to sentences in a second corpus. The method includes applying a length-based alignment model to align sentence boundaries of a sentence in the first corpus with sentence boundaries of a sentence in the second corpus to form an aligned sentence pair. The aligned sentence pair is then used to train a translation model. Once trained, the translation model is used to align sentences in the first corpus to sentences in the second corpus. Under aspects of the invention, pruning is used to reduce the number of sentence boundary alignments considered by the length-based alignment model and by the translation model. In further aspects of the invention, the length-based model utilizes a Poisson distribution.
Owner:MICROSOFT TECH LICENSING LLC
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