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    • 1. 发明授权
    • Estimating word correlations from images
    • 从图像估计字相关性
    • US08457416B2
    • 2013-06-04
    • US11956333
    • 2007-12-13
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • G06K9/72
    • G06F17/30247G06F17/30731
    • Word correlations are estimated using a content-based method, which uses visual features of image representations of the words. The image representations of the subject words may be generated by retrieving images from data sources (such as the Internet) using image search with the subject words as query words. One aspect of the techniques is based on calculating the visual distance or visual similarity between the sets of retrieved images corresponding to each query word. The other is based on calculating the visual consistence among the set of the retrieved images corresponding to a conjunctive query word. The combination of the content-based method and a text-based method may produce even better result.
    • 使用基于内容的方法来估计词相关性,其使用词的图像表示的视觉特征。 可以通过使用将主题词作为查询词的图像搜索从数据源(例如因特网)检索图像来生成主题词的图像表示。 该技术的一个方面是基于计算对应于每个查询词的检索图像组之间的视觉距离或视觉相似度。 另一个是基于计算与连接查询词对应的检索到的图像的集合之间的视觉一致性。 基于内容的方法和基于文本的方法的组合可以产生更好的结果。
    • 2. 发明申请
    • Estimating Word Correlations from Images
    • 估计图像中的词相关性
    • US20090074306A1
    • 2009-03-19
    • US11956333
    • 2007-12-13
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • Jing LiuBin WangZhiwei LiMingjing LiWei-Ying Ma
    • G06K9/72
    • G06F17/30247G06F17/30731
    • Word correlations are estimated using a content-based method, which uses visual features of image representations of the words. The image representations of the subject words may be generated by retrieving images from data sources (such as the Internet) using image search with the subject words as query words. One aspect of the techniques is based on calculating the visual distance or visual similarity between the sets of retrieved images corresponding to each query word. The other is based on calculating the visual consistence among the set of the retrieved images corresponding to a conjunctive query word. The combination of the content-based method and a text-based method may produce even better result.
    • 使用基于内容的方法来估计词相关性,其使用词的图像表示的视觉特征。 可以通过使用将主题词作为查询词的图像搜索从数据源(例如因特网)检索图像来生成主题词的图像表示。 该技术的一个方面是基于计算对应于每个查询词的检索图像组之间的视觉距离或视觉相似度。 另一个是基于计算与连接查询词对应的检索到的图像的集合之间的视觉一致性。 基于内容的方法和基于文本的方法的组合可以产生更好的结果。
    • 3. 发明申请
    • Dual Cross-Media Relevance Model for Image Annotation
    • 图像注释的双重跨媒体相关性模型
    • US20090076800A1
    • 2009-03-19
    • US11956331
    • 2007-12-13
    • Mingjing LiJing LiuBin WangZhiwei LiWei-Ying Ma
    • Mingjing LiJing LiuBin WangZhiwei LiWei-Ying Ma
    • G06F17/21
    • G06F17/241G06F17/2735
    • A dual cross-media relevance model (DCMRM) is used for automatic image annotation. In contrast to the traditional relevance models which calculate the joint probability of words and images over a training image database, the DCMRM model estimates the joint probability by calculating the expectation over words in a predefined lexicon. The DCMRM model may be advantageous because a predefined lexicon potentially has better behavior than a training image database. The DCMRM model also takes advantage of content-based techniques and image search techniques to define the word-to-image and word-to-word relations involved in image annotation. Both relations can be estimated by using image search techniques on the web data as well as available training data.
    • 双重跨媒体相关性模型(DCMRM)用于自动图像注释。 与在训练图像数据库中计算单词和图像的联合概率的传统相关性模型相反,DCMRM模型通过计算预定义词典中的单词的期望来估计联合概率。 DCMRM模型可能是有利的,因为预定义词典潜在地具有比训练图像数据库更好的行为。 DCMRM模型还利用基于内容的技术和图像搜索技术来定义图像注释中涉及的单词到图像和单词对字的关系。 可以通过使用图像搜索技术对网络数据以及可用的训练数据来估计这两个关系。
    • 8. 发明授权
    • Network monitoring of behavior probability density
    • 网络监控行为概率密度
    • US08639797B1
    • 2014-01-28
    • US12180243
    • 2008-07-25
    • Xiaohong PanKishor KakatkarDerek SandersRangaswamy JagannathanJing LiuRosanna Lee
    • Xiaohong PanKishor KakatkarDerek SandersRangaswamy JagannathanJing LiuRosanna Lee
    • G06F15/173
    • H04L43/12H04L41/142H04L43/04H04L43/062
    • A network monitoring system maintains both information regarding historical activity of a network, and information regarding emergent activity of the network. Comparison of historical activity of the network with emergent activity of the network allows the system to determine whether network activity is changing over time. The network monitoring system maintains data structures representing a p.d.f. for observable values of network parameters. Recent activity of the network can be compared with both the p.d.f. for historical activity and for emergent activity to aid in determining whether that recent activity is within the realm of normal, and whether network activity is changing over time. The network monitoring system adjusts that information regarding historical activity of a network in response to emergent activity of that network. The network monitoring device determines information regarding time-dependent activity of that network in response to spectral analysis regarding historical activity of that network.
    • 网络监控系统维护关于网络的历史活动的信息和关于网络的紧急活动的信息。 网络的历史活动与网络紧急活动的比较允许系统确定网络活动是否随时间而变化。 网络监控系统维护表示p.d.f.的数据结构。 用于网络参数的可观察值。 网络的最近活动可以与p.d.f. 用于历史活动和紧急活动,以帮助确定最近的活动是否在正常范围内,以及网络活动是否随时间而变化。 网络监控系统根据网络的紧急活动调整有关网络历史活动的信息。 响应于关于该网络的历史活动的频谱分析,网络监视设备确定关于该网络的时间相关活动的信息。
    • 10. 发明授权
    • Network monitoring using virtual packets
    • 使用虚拟数据包进行网络监控
    • US08451731B1
    • 2013-05-28
    • US12180193
    • 2008-07-25
    • Rosanna LeeHong ZhuRangaswamy JagannathanXiaohong PanDerek SandersKishor KakatkarJing Liu
    • Rosanna LeeHong ZhuRangaswamy JagannathanXiaohong PanDerek SandersKishor KakatkarJing Liu
    • H04J1/16H04J3/14G06F15/173
    • H04L41/0645H04L43/00H04L43/022H04L43/026H04L43/04H04L43/0817Y02D50/30
    • A network monitoring device includes a flow processing element, disposed to receive flow information relating to network flows, and to generate a set of virtual packets, each representing a portion of a network flow. The virtual packets are maintained in a time-sequential order, and read by elements of the network monitoring device to generate information relating to network traffic, such as symptoms affecting the communication network, problems affecting the communication network, and otherwise. The network monitoring device randomly samples virtual packets, with at least one of two effects: (1) flow information from traffic reporting devices that are themselves sampling at differing rates can be equalized, with the effect of standardizing information from all of them; (2) the network monitoring device itself can restrict its attention to a fraction of all virtual packets, with the effect of keeping up with a relatively large number of virtual packets.
    • 网络监视设备包括流处理元件,其被设置为接收与网络流相关的流信息,并且生成一组虚拟分组,每组虚拟分组表示网络流的一部分。 虚拟分组以时间顺序的顺序进行维护,并由网络监控设备的元素进行读取,以产生与网络流量相关的信息,例如影响通信网络的症状,影响通信网络的问题等。 网络监控设备随机采样虚拟数据包,具有以下两个效果中的至少一个:(1)流量报告设备本身以不同速率进行采样的流量信息可以均衡化,并使其全部信息标准化; (2)网络监控设备本身可以将其注意力限制在所有虚拟分组的一小部分,具有跟上相对较大数量的虚拟分组的效果。