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1. 发明授权

US06624821B1 Image texture retrieving method and apparatus thereof 有权
标题翻译：图像纹理检索方法及其装置
公开(公告)号：US06624821B1
公开(公告)日：2003-09-23
申请号：US09497504
申请日：2000-02-04
申请人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
发明人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
IPC分类号： G09G500
CPC分类号： G06K9/6892 , G06F17/30262 , G06K9/4609 , G06K9/6223 , G06T7/42 , G06T11/001 , G06T2207/20068 , G06T2207/20072
摘要： A method for retrieving an image texture descriptor for describing texture features of an image, including the steps of (a) filtering input images using predetermined filters having different orientation coefficients, (b) projecting the filtered images onto axes of each predetermined direction to obtain data groups consisting of averages of each directional pixel values, (c) selecting candidate data groups among the data groups by a predetermined classification method, (d) determining a plurality of indicators based on orientation coefficients of the filters used in filtering the candidate data groups, and (e) determining the plurality of indicators as the texture descriptor of the image. The texture descriptors which allow kinds of texture structure present in an image to be perceptually captured can be retrieved.
摘要翻译：一种用于检索用于描述图像的纹理特征的图像纹理描述符的方法，包括以下步骤：（a）使用具有不同取向系数的预定滤波器对输入图像进行滤波;（b）将滤波图像投影到每个预定方向的轴上以获得数据（c）通过预定的分类方法在数据组中选择候选数据组;（d）基于用于过滤候选数据组的滤波器的取向系数确定多个指标，以及（e）将所述多个指示符确定为所述图像的纹理描述符。可以检索允许感知图像中存在的纹理结构的纹理描述符。

2. 发明授权

US07199803B2 Method and apparatus for image texture describing 有权
标题翻译：图像纹理描述的方法和装置
公开(公告)号：US07199803B2
公开(公告)日：2007-04-03
申请号：US10795991
申请日：2004-03-10
申请人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
发明人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
IPC分类号： G09G5/02 , G09G5/00
CPC分类号： G06K9/6892 , G06F17/30262 , G06K9/4609 , G06K9/6223 , G06T7/42 , G06T11/001 , G06T2207/20068 , G06T2207/20072
摘要： A method for retrieving an image texture descriptor for describing texture features of an image, including the steps of (a) filtering input images using predetermined filters having different orientation coefficients, (b) projecting the filtered images onto axes of each predetermined direction to obtain data groups consisting of averages of each directional pixel values, (c) selecting candidate data groups among the data groups by a predetermined classification method, (d) determining a plurality of indicators based on orientation coefficients of the filters used in filtering the candidate data groups, and (e) determining the plurality of indicators as the texture descriptor of the image. The texture descriptors which allow kinds of texture structure present in an image to be perceptually captured can be retrieved.
摘要翻译：一种用于检索用于描述图像的纹理特征的图像纹理描述符的方法，包括以下步骤：（a）使用具有不同取向系数的预定滤波器对输入图像进行滤波;（b）将滤波图像投影到每个预定方向的轴上以获得数据（c）通过预定的分类方法在数据组中选择候选数据组;（d）基于用于过滤候选数据组的滤波器的取向系数确定多个指标，以及（e）将所述多个指示符确定为所述图像的纹理描述符。可以检索允许感知图像中存在的纹理结构的纹理描述符。

3. 发明授权

US07027065B2 Method for image texture describing 失效
标题翻译：图像纹理描述方法
公开(公告)号：US07027065B2
公开(公告)日：2006-04-11
申请号：US10434150
申请日：2003-05-09
申请人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
发明人： Hyun-doo Shin , Yang-lim Choi , Peng Wu , Bangalore Manjunath
IPC分类号： G09G5/00
CPC分类号： G06K9/6892 , G06F17/30262 , G06K9/4609 , G06K9/6223 , G06T7/42 , G06T11/001 , G06T2207/20068 , G06T2207/20072
摘要： A method for retrieving an image texture descriptor for describing texture features of an image, including the steps of (a) filtering input images using predetermined filters having different orientation coefficients, (b) projecting the filtered images onto axes of each predetermined direction to obtain data groups consisting of averages of each directional pixel values, (c) selecting candidate data groups among the data groups by a predetermined classification method, (d) determining a plurality of indicators based on orientation coefficients of the filters used in filtering the candidate data groups, and (e) determining the plurality of indicators as the texture descriptor of the image. The texture descriptors which allow kinds of texture structure present in an image to be perceptually captured can be retrieved.
摘要翻译：一种用于检索用于描述图像的纹理特征的图像纹理描述符的方法，包括以下步骤：（a）使用具有不同取向系数的预定滤波器对输入图像进行滤波;（b）将滤波图像投影到每个预定方向的轴上以获得数据（c）通过预定的分类方法在数据组中选择候选数据组;（d）基于用于过滤候选数据组的滤波器的取向系数确定多个指标，以及（e）将所述多个指示符确定为所述图像的纹理描述符。可以检索允许感知图像中存在的纹理结构的纹理描述符。

4. 发明授权

US07308140B2 Method and device for measuring similarity between images 失效
标题翻译：用于测量图像之间相似度的方法和装置
公开(公告)号：US07308140B2
公开(公告)日：2007-12-11
申请号：US09822853
申请日：2001-04-02
申请人： Hyun-doo Shin , Yang-Iim Choi , Bangalore S. Manjunath , Peng Wu
发明人： Hyun-doo Shin , Yang-Iim Choi , Bangalore S. Manjunath , Peng Wu
IPC分类号： G06K9/62 , G06K9/68
CPC分类号： G06T7/41
摘要： A method of measuring a similarity between images is provided. The method includes the steps of (a) computing a statistical dissimilarity between the images; (b) computing a perceptual dissimilarity between the images; and (c) computing a dissimilarity between the texture features of the images based on the statistical dissimilarity and the perceptual dissimilarity. When images perceptually similar to a query image are searched and retrieved according to the above measuring method, the possibility that the retrieved images are not perceptually similar to the query image is small. Accordingly, the image searching performance can be improved when searching images having texture features similar to that of a query image.
摘要翻译：提供了一种测量图像之间的相似度的方法。该方法包括以下步骤：（a）计算图像之间的统计学不相似性; （b）计算图像之间的知觉差异; 和（c）基于统计学上的不相似性和感知不相似性来计算图像的纹理特征之间的不相似性。当根据上述测量方法搜索和检索与查询图像感知相似的图像时，检索到的图像在听觉上与查询图像不相似的可能性较小。因此，当搜索具有与查询图像相似的纹理特征的图像时，可以提高图像搜索性能。

5. 发明授权

US06910030B2 Adaptive search method in feature vector space 失效
标题翻译：特征向量空间中的自适应搜索方法
公开(公告)号：US06910030B2
公开(公告)日：2005-06-21
申请号：US09783149
申请日：2001-02-15
申请人： Yang-lim Choi , Youngsik Huh , B. S. Manjunath , Peng Wu
发明人： Yang-lim Choi , Youngsik Huh , B. S. Manjunath , Peng Wu
IPC分类号： G06F17/30
CPC分类号： G06F17/30017 , Y10S707/99932 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： An adaptive search method in feature vector space which can quickly search the feature vector space indexed based on approximation for a feature vector having features similar to a query vector according to a varying distance measurement is provided. The adaptive search method includes the steps of (a) performing a similarity measurement on a given query vector within the feature vector space, and (b) applying search conditions limited by the result of the similar measurement obtained in the step (a) and performing a changed similarity measurement on the given query vector. According to the adaptive search method, the number of candidate approximation regions is reduced during a varying distance measurement such as an on-line retrieval, which improves the search speed.
摘要翻译：提供了一种特征向量空间中的自适应搜索方法，可以快速搜索根据具有与查询向量类似的特征向量的特征向量根据近似值索引的特征向量空间，该特征向量空间根据变化的距离测量。自适应搜索方法包括以下步骤：（a）对特征向量空间内的给定查询向量执行相似度测量，以及（b）应用由步骤（a）中获得的类似测量结果限制的搜索条件，并执行给定查询向量改变了相似性度量。根据自适应搜索方法，在诸如在线检索的变化距离测量期间，候选近似区域的数量减少，这提高了搜索速度。

6. 发明授权

US06917927B2 Method for indexing feature vector data space 失效
标题翻译：索引特征向量数据空间的方法
公开(公告)号：US06917927B2
公开(公告)日：2005-07-12
申请号：US09783135
申请日：2001-02-15
申请人： Yang-lim Choi , B. S. Manjunath , Peng Wu
发明人： Yang-lim Choi , B. S. Manjunath , Peng Wu
IPC分类号： G06F17/10 , G06F17/30 , G06F15/18
CPC分类号： G06F17/30017
摘要： A method is provided for indexing feature vectors within feature vector data space which includes adaptively forming approximation of the feature vectors on the basis of statistical distribution of feature vector data within the feature vector data space. The method for indexing feature vector data space of the present invention efficiently indexes vector space having high-dimensionality in which generally feature vectors are not uniformly distributed. Also, the method for indexing feature vector data space has an advantage that indexing can be easily upgraded when new feature vector data is added.
摘要翻译：提供了一种用于在特征向量数据空间内索引特征向量的方法，其包括基于特征向量数据空间内的特征向量数据的统计分布自适应地形成特征向量的近似。本发明的索引特征向量数据空间的方法有效地对通常不具有均匀分布的特征向量的具有高维度的向量空间进行索引。此外，索引特征向量数据空间的方法具有在添加新的特征向量数据时可以容易地升级索引的优点。

7. 发明授权

US09081501B2 Multi-petascale highly efficient parallel supercomputer 有权
标题翻译：多千兆高效并行超级计算机
公开(公告)号：US09081501B2
公开(公告)日：2015-07-14
申请号：US13004007
申请日：2011-01-10
申请人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
发明人： Sameh Asaad , Ralph E. Bellofatto , Michael A. Blocksome , Matthias A. Blumrich , Peter Boyle , Jose R. Brunheroto , Dong Chen , Chen-Yong Cher , George L. Chiu , Norman Christ , Paul W. Coteus , Kristan D. Davis , Gabor J. Dozsa , Alexandre E. Eichenberger , Noel A. Eisley , Matthew R. Ellavsky , Kahn C. Evans , Bruce M. Fleischer , Thomas W. Fox , Alan Gara , Mark E. Giampapa , Thomas M. Gooding , Michael K. Gschwind , John A. Gunnels , Shawn A. Hall , Rudolf A. Haring , Philip Heidelberger , Todd A. Inglett , Brant L. Knudson , Gerard V. Kopcsay , Sameer Kumar , Amith R. Mamidala , James A. Marcella , Mark G. Megerian , Douglas R. Miller , Samuel J. Miller , Adam J. Muff , Michael B. Mundy , John K. O'Brien , Kathryn M. O'Brien , Martin Ohmacht , Jeffrey J. Parker , Ruth J. Poole , Joseph D. Ratterman , Valentina Salapura , David L. Satterfield , Robert M. Senger , Brian Smith , Burkhard Steinmacher-Burow , William M. Stockdell , Craig B. Stunkel , Krishnan Sugavanam , Yutaka Sugawara , Todd E. Takken , Barry M. Trager , James L. Van Oosten , Charles D. Wait , Robert E. Walkup , Alfred T. Watson , Robert W. Wisniewski , Peng Wu
IPC分类号： G06F15/173 , G06F9/06 , G06F15/76
CPC分类号： G06F13/287 , G06F9/06 , G06F9/3004 , G06F9/30047 , G06F9/3885 , G06F12/0811 , G06F12/0831 , G06F12/0862 , G06F12/0864 , G06F12/1027 , G06F15/17381 , G06F15/17387 , G06F15/76 , G06F15/8069 , G06F2212/1016 , G06F2212/602 , G06F2212/6022 , G06F2212/6024 , G06F2212/6032 , Y02D10/13 , Y02D10/14
摘要： A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC). Each ASIC computing node comprises a system-on-chip ASIC utilizing four or more processors integrated into one die, with each having full access to all system resources and enabling adaptive partitioning of the processors to functions such as compute or messaging I/O on an application by application basis, and preferably, enable adaptive partitioning of functions in accordance with various algorithmic phases within an application, or if I/O or other processors are underutilized, then can participate in computation or communication nodes are interconnected by a five dimensional torus network with DMA that optimally maximize the throughput of packet communications between nodes and minimize latency.
摘要翻译：具有100 petaOPS规模计算的多Petascale高效并行超级计算机，其成本，功耗和占地面积都在降低，并且允许从互连角度来看处理节点的最大封装密度。超级计算机利用了VLSI的技术进步，实现了许多处理器可以集成到单个专用集成电路（ASIC）中的计算模型。每个ASIC计算节点包括利用集成到一个管芯中的四个或更多个处理器的片上系统ASIC，每个处理器具有对所有系统资源的完全访问，并且使得处理器能够对诸如计算或消息传递I / O 并且优选地，根据应用内的各种算法阶段实现功能的自适应分割，或者如果I / O或其他处理器未被充分利用，则可以参与计算或通信节点通过五维环面网络互连使用DMA来最大限度地最大化节点之间的分组通信的吞吐量并最小化等待时间。

8. 发明申请

US20130295019A1 LIGANDS AND METHODS FOR LABELING BIOMOLECULES IN VIVO 有权
标题翻译：用于标记体内生物分子的配体和方法
公开(公告)号：US20130295019A1
公开(公告)日：2013-11-07
申请号：US13813163
申请日：2011-08-05
申请人： Peng Wu , David Soriano del Amo , Wei Wang , Florence L. Marlow
发明人： Peng Wu , David Soriano del Amo , Wei Wang , Florence L. Marlow
IPC分类号： C07D249/04 , A61K49/00
CPC分类号： C07D249/04 , A61K49/0052 , G01N33/533 , G01N33/582
摘要： Disclosed are tris(triazolylmethyl)amine ligands, and kits and methods for labeling and/or imaging a biomolecule of interest in a subject or living system.
摘要翻译：公开了三（三唑基甲基）胺配体，以及用于在受试者或生活系统中标记和/或成像感兴趣的生物分子的试剂盒和方法。

9. 发明授权

US08549498B2 Integration of trace selection and trace profiling in dynamic optimizers 有权
标题翻译：在动态优化器中集成跟踪选择和跟踪分析
公开(公告)号：US08549498B2
公开(公告)日：2013-10-01
申请号：US13215747
申请日：2011-08-23
申请人： Hiroshige Hayashizaki , Hiroshi Inoue , Peng Wu
发明人： Hiroshige Hayashizaki , Hiroshi Inoue , Peng Wu
IPC分类号： G06F9/45
CPC分类号： G06F11/3612
摘要： Integrated trace selection and profiling in dynamic optimizers may include selecting a trace head based on profile of basic blocks that are executed. The basic blocks executed from the trace head may be recorded as a trace. The trace may be added to a trace nursery in non-compiled state. The trace may be interpreted and profiled until the trace matures. Under a profiling mode, path sensitive runtime information such as values, types, targets of call-sites, and exit frequencies can be collected. The trace may be moved out of the nursery to a compilation queue in response to determining that the trace has matured based on an execution count of the profiled trace.
摘要翻译：动态优化器中的集成跟踪选择和分析可能包括基于执行的基本块的轮廓选择跟踪头。从跟踪头执行的基本块可以记录为跟踪。踪迹可以添加到非编译状态的跟踪托儿所。跟踪可能被解释和分析，直到跟踪成熟。在分析模式下，可以收集路径敏感的运行时信息，如值，类型，呼叫站点目标和退出频率。响应于确定跟踪已经基于分析跟踪的执行计数而成熟，跟踪可以移出苗圃到编译队列。

10. 发明授权

US08423979B2 Code generation for complex arithmetic reduction for architectures lacking cross data-path support 有权
标题翻译：针对缺乏跨数据路径支持的架构的复杂算术减少的代码生成
公开(公告)号：US08423979B2
公开(公告)日：2013-04-16
申请号：US11548851
申请日：2006-10-12
申请人： Roch Georges Archambault , Alexandre E. Eichenberger , Amy Kai-Ting Wang , Peng Wu , Peng P. Zhao
发明人： Roch Georges Archambault , Alexandre E. Eichenberger , Amy Kai-Ting Wang , Peng Wu , Peng P. Zhao
IPC分类号： G06F9/45
CPC分类号： G06F8/445 , G06F8/45
摘要： A computer implemented method, apparatus, and computer usable program code for compiling source code for performing a complex operation followed by a complex reduction operation. A method is determined for generating executable code for performing the complex operation and the complex reduction operation. Executable code is generated for computing sub-products, reducing the sub-products to intermediate results, and summing the intermediate results to generate a final result in response to a determination that a reduced single instruction multiple data method is appropriate.
摘要翻译：一种计算机实现的方法，装置和计算机可用程序代码，用于编译用于执行复杂操作的复杂缩减操作的源代码。确定用于生成用于执行复杂操作和复合缩减操作的可执行代码的方法。生成用于计算子产品的可执行代码，将子产品减少到中间结果，并且对中间结果求和以响应于减少的单指令多数据方法的确定而产生最终结果。

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