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    • 3. 发明授权
    • Spread kernel support vector machine
    • 扩展内核支持向量机
    • US07406450B2
    • 2008-07-29
    • US11276235
    • 2006-02-20
    • Hans Peter GrafIgor DurdanovicEric CosattoVladimir Vapnik
    • Hans Peter GrafIgor DurdanovicEric CosattoVladimir Vapnik
    • G06E1/00G06E3/00G06F15/18G06G7/00G06N3/02
    • G06K9/6269G06N99/005
    • Disclosed is a parallel support vector machine technique for solving problems with a large set of training data where the kernel computation, as well as the kernel cache and the training data, are spread over a number of distributed machines or processors. A plurality of processing nodes are used to train a support vector machine based on a set of training data. Each of the processing nodes selects a local working set of training data based on data local to the processing node, for example a local subset of gradients. Each node transmits selected data related to the working set (e.g., gradients having a maximum value) and receives an identification of a global working set of training data. The processing node optimizes the global working set of training data and updates a portion of the gradients of the global working set of training data. The updating of a portion of the gradients may include generating a portion of a kernel matrix. These steps are repeated until a convergence condition is met. Each of the local processing nodes may store all, or only a portion of, the training data. While the steps of optimizing the global working set of training data, and updating a portion of the gradients of the global working set, are performed in each of the local processing nodes, the function of generating a global working set of training data is performed in a centralized fashion based on the selected data (e.g., gradients of the local working set) received from the individual processing nodes.
    • 公开了一种用于解决大量训练数据的问题的并行支持向量机技术,其中内核计算以及内核高速缓存和训练数据分布在多个分布式机器或处理器上。 多个处理节点用于基于一组训练数据训练支持向量机。 每个处理节点基于处理节点本地的数据,例如梯度的本地子集,选择训练数据的本地工作集。 每个节点发送与工作集有关的所选数据(例如,具有最大值的梯度)并且接收训练数据的全局工作集合的标识。 处理节点优化训练数据的全局工作集,并更新全局训练数据工作集的一部分梯度。 梯度的一部分的更新可以包括生成内核矩阵的一部分。 重复这些步骤直到满足收敛条件。 每个本地处理节点可以存储训练数据的全部或仅一部分。 虽然在每个本地处理节点中执行优化训练数据的全局工作集和更新全局工作集的一部分梯度的步骤,但是在每个本地处理节点中执行生成训练数据的全局工作集的功能, 基于从各个处理节点接收的所选数据(例如,本地工作集的梯度)的集中式。
    • 6. 发明授权
    • Systems and methods for encoding and decoding video streams
    • 视频流编码和解码的系统和方法
    • US08638846B1
    • 2014-01-28
    • US10601495
    • 2003-06-23
    • Eric CosattoHans Peter GrafJoern Ostermann
    • Eric CosattoHans Peter GrafJoern Ostermann
    • H04N7/12
    • H04N19/573G06T9/001H04N19/21H04N19/23H04N19/55
    • Systems and methods for encoding/decoding a video stream. Animated talking heads are coded using partial offline encoding, multiple video streams, and multiple reference frames. The content of a face animation video that is known beforehand is encoded offline and the remaining content is encoded online and included in the video stream. To reduce bit rate, a server can stream multiple video sequences to the client and the video sequences are stored in the client's frame store. The server sends instructions to play a particular video sequence instead of streaming the particular video sequence. Multiple video streams can also be streamed to the client. Positional data and blending data are also sent to properly position one video stream relative to another video stream and to blend one video stream into another video stream.
    • 用于对视频流进行编码/解码的系统和方法。 动画通话头使用部分离线编码,多个视频流和多个参考帧进行编码。 预先知道的面部动画视频的内容被离线编码,并且剩余的内容被在线编码并包括在视频流中。 为了降低比特率,服务器可以将多个视频序列流式传输到客户端,视频序列存储在客户端的帧存储器中。 服务器发送播放特定视频序列的指令,而不是流式传输特定的视频序列。 多个视频流也可以流式传输到客户端。 还发送位置数据和混合数据以相对于另一个视频流适当地定位一个视频流,并将一个视频流混合到另一视频流中。
    • 9. 发明授权
    • System and method for sending multi-media messages using emoticons
    • 使用表情发送多媒体消息的系统和方法
    • US07921013B1
    • 2011-04-05
    • US11214666
    • 2005-08-30
    • Joern OstermannMehmet Reha CivanlarEric CosattoHans Peter GrafYann Andre LeCun
    • Joern OstermannMehmet Reha CivanlarEric CosattoHans Peter GrafYann Andre LeCun
    • G10L13/00G10L13/06G10L21/00
    • G06Q10/107G06F17/241G10L13/00
    • A system and method of providing sender-customization of multi-media messages through the use of emoticons is disclosed. The sender inserts the emoticons into a text message. As an animated face audibly delivers the text, emoticons associated with the message are started a predetermined period of time or number of words prior to the position of the emoticon in the message text and completed a predetermined length of time or number of words following the location of the emoticon. The sender may insert emoticons through the use of emoticon buttons that are icons available for choosing. Upon sender selections of an emoticon, an icon representing the emoticon is inserted into the text at the position of the cursor. Once an emoticon is chosen, the sender may also choose the amplitude for the emoticon and increased or decreased amplitude will be displayed in the icon inserted into the message text.
    • 公开了通过使用表情符号来提供多媒体消息的发送者定制的系统和方法。 发件人将表情符号插入文本消息。 作为动画面部听觉地传送文本,与消息相关联的表情符号在消息文本中表情符号的位置之前的预定时间段或字数开始,并且完成预定时间长度或位置之后的字数 的表情符号。 发件人可以通过使用可用于选择的图标的表情符号按钮来插入表情符号。 在表情符号的发送者选择之后,表示表情符号的图标被插入到光标位置的文本中。 一旦选择了表情符号,发送者也可以选择表情符号的幅度,增加或减小的幅度将显示在插入消息文本的图标中。