公开(公告)号：US08868522B1

公开(公告)日：2014-10-21

申请号：US13691532

申请日：2012-11-30

Applicant: Google Inc.

Inventor： Marco Zennaro ,  Kong Man Cheung ,  Julian Ibarz ,  Liron Yatziv ,  Sacha Christophe Arnoud

IPC: G06F17/30

CPC classification number: G06F17/30241

Abstract: Systems and methods for updating geographic data based on a transaction are provided. In some aspects, one or more transaction records associated with a business are accessed from a memory. Each transaction record identifies a transaction time, geographic location data, and transaction information. A geocoded record of the business is selected to update, based on the geographic location data of the one or more transaction records. The selected geocoded record is updated based on at least one of the transaction time or the transaction information identified in the transaction records.

Abstract translation: 提供了基于事务更新地理数据的系统和方法。 在一些方面，与业务相关联的一个或多个事务记录从存储器访问。 每个交易记录标识交易时间，地理位置数据和交易信息。 根据一个或多个交易记录的地理位置数据，选择业务的地理编码记录来更新。 基于交易记录中识别的交易时间或交易信息中的至少一个来更新所选择的地理编码记录。

公开(公告)号：US08965112B1

公开(公告)日：2015-02-24

申请号：US14108474

申请日：2013-12-17

Applicant: Google Inc.

Inventor： Julian Ibarz ,  Yaroslav Bulatov ,  Ian Goodfellow

IPC: G06K9/62

CPC classification number: G06K9/6256 ,  G06K9/3258 ,  G06K9/6273 ,  G06K9/6277

Abstract: Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.

Abstract translation: 提供了使用神经网络进行序列转录的系统和方法。 更具体地，可以实现神经网络，以通过使多个训练图像上的对数P（S | X）最大化来将由神经网络接收的多个训练图像映射到包括P（S | X）的序列的概率模型中。 X表示输入图像，S表示输入图像的字符的输出序列。 经训练的神经网络可以处理包含与建筑物号码相关联的字符的接收图像。 经训练的神经网络可以通过处理接收的图像来生成预测的字符序列。

公开(公告)号：US09454714B1

公开(公告)日：2016-09-27

申请号：US14587088

申请日：2014-12-31

Applicant: Google Inc.

Inventor： Julian Ibarz ,  Yaroslav Bulatov ,  Ian Goodfellow

IPC: G06K9/62

CPC classification number: G06K9/6256 ,  G06K9/3258 ,  G06K9/6273 ,  G06K9/6277

Abstract: Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.