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1. 发明专利

JP2008262288A Estimation device 有权
标题翻译：估计装置
公开(公告)号：JP2008262288A
公开(公告)日：2008-10-30
申请号：JP2007102915
申请日：2007-04-10
申请人： Denso Corp , Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学 , 株式会社デンソー
发明人： SHIMIZU MIKIRO , FUKAYA NAOKI , BANDO YOSHIJI , SHIBATA TOMOHIRO , ISHII MAKOTO
IPC分类号： G06T7/60 , G01B11/26 , G06T1/00 , G06T7/00 , G06T7/20
摘要： PROBLEM TO BE SOLVED: To provide an estimation device capable of obtaining stable estimation results just after the start of the processing and enhancing an estimation accuracy.
SOLUTION: A face model providing portion 6 provides an average face model S
A stored in an average face model storage portion 61 to an estimation portion 8 estimating an affine parameter A
t for obtaining a head pose via a face model switching portion 63 when an individual face model learning portion 62 starts in response to an initialization instruction. The individual face model learning portion 62 acquires a result of tracking characteristic points (observed values) on the image by the estimation portion 8, learns an individual face model S
P , terminates learning the individual face model when a free energy of the individual face model S
P is over a free energy of the average face model S
A , and switches a face model C
a provided to the estimation portion 8 from the average face model S
A to the individual face model S
P .
COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：提供一种能够在开始处理之后获得稳定的估计结果并提高估计精度的估计装置。解决方案：面部模型提供部分6将存储在平均面部模型存储部分61中的平均面部模型S A 提供给估计部分8，估计仿射参数A SB>，用于当个人面部模型学习部分62响应初始化指令开始时通过面部模型切换部分63获得头部姿势。个人面部模型学习部分62通过估计部分8获取跟踪特征点（观察值）的结果，学习个人面部模型S P ，终止学习个人面部模型时个人脸部模型S P 的自由能超过平均脸部模型S A 的自由能，并切换面部模型C a 从平均面部模型S A 提供给估计部分8到个人面部模型S P 。版权所有（C）2009，JPO＆INPIT

2. 发明专利

JP2008261662A Three-dimensional shape restoration device 有权
标题翻译：三维形状恢复装置
公开(公告)号：JP2008261662A
公开(公告)日：2008-10-30
申请号：JP2007102914
申请日：2007-04-10
申请人： Denso Corp , Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学 , 株式会社デンソー
发明人： SHIMIZU MIKIRO , FUKAYA NAOKI , BANDO YOSHIJI , SHIBATA TOMOHIRO , ISHII MAKOTO
IPC分类号： G01B11/24 , G06T1/00
摘要： PROBLEM TO BE SOLVED: To execute factorization even if low-reliability data exist in an observation matrix (a feature-point position series), as to a three-dimensional shape restoration device.
SOLUTION: In factorizing the observation matrix W, a reliability matrix Q is used which expresses the reliability (variance of probability distribution (normal distribution) expressing the position of a feature point) of respective observation values x
t constituting the observation matrix W. By causing the variance Σ
s of test distribution q(S) of a shape matrix to reflect the reliability matrix Q, factorization is performed in which the higher the reliability of feature points is, the more they are emphasized.
COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：即使在观察矩阵（特征点位置序列）中存在低可靠性数据，也要执行因子分解，关于三维形状恢复装置。解决方案：在对观测矩阵W进行因子分解时，使用可靠性矩阵Q，其表示各个观测值x 的可靠性（表示特征点的位置的概率分布的方差（正态分布） SB>构成观察矩阵W.通过使形状矩阵的测试分布q（S）的方差ΣS S / S S反映可靠性矩阵Q，进行因子分解，其中特征的可靠性越高分数越多，他们就越强调。版权所有（C）2009，JPO＆INPIT

3. 发明专利

JP2007172237A Estimation device 有权
标题翻译：估计装置
公开(公告)号：JP2007172237A
公开(公告)日：2007-07-05
申请号：JP2005368124
申请日：2005-12-21
申请人： Denso Corp , Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学 , 株式会社デンソー
发明人： FUKAYA NAOKI , SHIMIZU MIKIRO , ISHII MAKOTO , SHIBATA TOMOHIRO , BANDO YOSHIJI
IPC分类号： G06T7/20 , G06T1/00
CPC分类号： G06K9/00248
摘要： PROBLEM TO BE SOLVED: To provide an estimation device, for accurately performing time-series Bayes estimation in real time even in an environment with non-Gaussian noise.
SOLUTION: A mixed distribution generation part 14 generates a particle according to a mixed distribution in which an upper prediction distribution based on an estimation result of an affine parameter showing a head posture and a lower prediction distribution based on an estimation result of a face characteristic point are mixed in a mixing ratio α
a, t , α
z, t , and an observation part 22 calculates the weight of the particle using observation data z
t and a template tp
n , whereby an estimated distribution of the position of the face characteristic point expressed by weighted particles is determined. Based on particles sampled along the estimation distribution and both the prediction distributions used for generation of the mixed distribution, a mixing ratio calculation part 20 calculates a mixing ratio determined later so as to provide a mixing distribution most approximate to the estimated distribution as a mixing ratio α
a, t+1 , α
z, t+1 used in the next estimation.
COPYRIGHT: (C)2007,JPO&INPIT
摘要翻译：要解决的问题：为了提供一种估计装置，即使在具有非高斯噪声的环境中也能实时准确地执行时间序列贝叶斯估计。解决方案：混合分布生成部分14根据混合分布生成粒子，其中基于表示头部姿势的仿射参数的估计结果的上部预测分布和基于a的估计结果的较低预测分布表面特征点以混合比α a，t ，αSB> t 混合，观察部22使用观测数据z t 和模板tp n ，由此确定由加权粒子表示的面部特征点的位置的估计分布。基于沿着估计分布采样的颗粒和用于产生混合分布的预测分布，混合比计算部20计算稍后确定的混合比，以便提供最接近估计分布的混合分布作为混合比 α a，t + 1 ，α z，t + 1 。版权所有（C）2007，JPO＆INPIT

4. 发明专利

JP2009146231A Super-resolution method and super-resolution program 审中-公开
标题翻译：超分辨率方法和超分辨率方案
公开(公告)号：JP2009146231A
公开(公告)日：2009-07-02
申请号：JP2007324086
申请日：2007-12-14
申请人： Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学
发明人： MAEDA SHINICHI , KANEMURA ATSUNORI , ISHII MAKOTO
IPC分类号： G06T3/00 , G06T1/00 , G06T3/40
摘要： PROBLEM TO BE SOLVED: To provide a super-resolution method, capable of automatically detecting a shielding object to attain accurate super-resolution. SOLUTION: A shielding pattern is defined as a probability variable which takes a discrete value for each pixel of an observation image, and it is assumed that an observation image that does not correspond to an original image is obtained in an area where a shielding object or the like is present. A probability distribution of the probability variables expressing the shielding patterns is modeled as spin glass, and the shielding object or the like is expressed as a continuous area of an optional shape by reflecting the property of the shielding object or the like in which it is frequently connected in a spatially smooth manner. Since the presence/absence of shielding is stochastically estimated by the probability distribution expressing a certainty factor of estimation (posterior distribution of the shielding patterns when observed), estimation can be performed according to the certainty factor, and a high-resolution image can be estimated further accurately, compared with a method for deterministically identifying a shielding area. Since the estimation of the shielding patterns and the estimation of the high-resolution image have a strong dependency for the respective estimation results, these are simultaneously estimated without treating them by independent estimation methods. COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：提供能够自动检测屏蔽物体以获得准确的超分辨率的超分辨率方法。解决方案：屏蔽图案被定义为对观察图像的每个像素采取离散值的概率变量，并且假设在以下区域中获得与原始图像不对应的观察图像：屏蔽物等存在。表示屏蔽图案的概率变量的概率分布被建模为旋转玻璃，并且屏蔽物体等通过反映其中经常被屏蔽物体等的性质而被表示为可选形状的连续区域以空间平滑的方式连接。由于屏蔽的存在/不存在通过表示估计的确定性因子（观察时的屏蔽图案的后验分布）的概率分布来随机估计，可以根据确定性因子进行估计，并且可以估计高分辨率图像与用于确定性地识别屏蔽区域的方法相比，进一步精确地。由于屏蔽图案的估计和高分辨率图像的估计对于各个估计结果具有很强的依赖性，所以它们在不用独立估计方法进行处理的同时被估计。版权所有（C）2009，JPO＆INPIT

5. 发明专利

JP2005301789A Cluster analysis device, cluster analysis method and cluster analysis program 审中-公开
标题翻译：群集分析设备，群集分析方法和群集分析程序
公开(公告)号：JP2005301789A
公开(公告)日：2005-10-27
申请号：JP2004118792
申请日：2004-04-14
申请人： Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学
发明人： ISHII MAKOTO , OBA SHIGEMASA
IPC分类号： G06F19/00 , G06F19/24 , G06N3/00
CPC分类号： G06K9/6226
摘要： PROBLEM TO BE SOLVED: To realize high-reliability clustering, and to analyze data related to life information. SOLUTION: A CPU 3 estimates a probability density function to an M-dimensional pattern vector by use of a kernel function of a correlation group, and performs the clustering of the pattern vector by use of density distribution mode search algorithm on the basis of the estimated probability density function. These are performed by a kernel of a plurality of scales, and are simultaneously diagrammatically shown. COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：实现高可靠性聚类，并分析与生活信息有关的数据。解决方案：CPU3通过使用相关组的核函数来估计M维模式向量的概率密度函数，并且基于密度分布模式搜索算法来执行模式向量的聚类的估计概率密度函数。这些由多个刻度的内核执行，并且同时示意性地示出。版权所有（C）2006，JPO＆NCIPI

6. 发明专利

JP2005084834A Adaptive control unit, adaptive control method and adaptive control program 有权
标题翻译：自适应控制单元，自适应控制方法和自适应控制程序
公开(公告)号：JP2005084834A
公开(公告)日：2005-03-31
申请号：JP2003314621
申请日：2003-09-05
申请人： Japan Science & Technology Agency , Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学 , 独立行政法人科学技術振興機構
发明人： YOSHIMOTO JUNICHIRO , ISHII MAKOTO
IPC分类号： G05B13/02
摘要： PROBLEM TO BE SOLVED: To provide an adaptive control unit, an adaptive control method and an adaptive control program for suppressing and controlling the computational complexity, even when the time development of a target system is complicated.
SOLUTION: A computer 100 operating as an adaptive control unit decides controlled variables for the status of a target physical system, when the time development of the physical system is described as a Markov process. The computer 100 is provided with a communication interface 128 for acquiring the status quantity of the physical system, and a CPU 120 adaptively generates a control signal for controlling the status quantity as a target value by a probabilistic sequential emphasis sampling method.
COPYRIGHT: (C)2005,JPO&NCIPI
摘要翻译：要解决的问题：即使当目标系统的时间发展复杂时，提供一种自适应控制单元，自适应控制方法和用于抑制和控制计算复杂度的自适应控制程序。解决方案：当物理系统的时间发展被描述为马尔科夫过程时，作为自适应控制单元运行的计算机100对目标物理系统的状态决定受控变量。计算机100设置有用于获取物理系统的状态量的通信接口128，并且CPU120通过概率顺序强调采样方法自适应地生成用于将状态量控制为目标值的控制信号。版权所有（C）2005，JPO＆NCIPI

7. 发明专利

JP2005337730A Measurement system 审中-公开
标题翻译：测量系统
公开(公告)号：JP2005337730A
公开(公告)日：2005-12-08
申请号：JP2004153028
申请日：2004-05-24
申请人： Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学
发明人： ISHII MAKOTO , SUGIURA TADAO
IPC分类号： G01N21/64 , C12M1/34 , G01N33/483 , G02B21/00 , G21K1/00
CPC分类号： G01N21/6428 , G01N21/6458
摘要： PROBLEM TO BE SOLVED: To provide a measurement system enabling to properly evaluate a response of an object to be measured against stimulus applied at a predetermined timing to a part of the object such as cells.
SOLUTION: The system comprises an optical tweezers unit 2 which holds a particle 20, a lens 10 and an actuator 16 which move the particle 20 toward the object 35, a tetrameric photodetector 15 which measures a force acting on the object 35 from the particle 20, and a confocal unit 3 and a microscope unit 4 which enlarge the object 35 to observe.
COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：提供一种测量系统，其能够针对对象（例如单元）的一部分在预定定时对正在施加的刺激来适当地评估被测量物体的响应。解决方案：该系统包括保持粒子20的光学镊子单元2，透镜10和使粒子20朝向物体35移动的致动器16，四分之一光电检测器15，其测量作用在物体35上的力颗粒20和共焦单元3以及放大对象35观察的显微镜单元4。版权所有（C）2006，JPO＆NCIPI

8. 发明专利

JP2006202235A Time-based phenomenon occurrence analysis apparatus and time-based phenomenon occurrence analysis method 审中-公开
标题翻译：基于时间的基尼系统分析装置和基于时间的基因分析方法
公开(公告)号：JP2006202235A
公开(公告)日：2006-08-03
申请号：JP2005016140
申请日：2005-01-24
申请人： Nara Institute Of Science & Technology , 国立大学法人奈良先端科学技術大学院大学
发明人： OBA SHIGEMASA , ISHII MAKOTO
IPC分类号： A61B5/00 , A61B10/00 , G06F19/24 , G06Q10/04 , G06Q50/00 , G06Q50/10 , G06Q50/22
CPC分类号： G06F19/24 , G06F19/20
摘要： PROBLEM TO BE SOLVED: To provide a new survival time analysis apparatus and survival time analysis method that can analyze the probability of the occurrence of a predetermined phenomenon in an analysis object (single sample) at a predetermined time point by associating and analyzing feature amount data on the analysis object and the occurrence of the predetermined phenomenon. SOLUTION: The survival time analysis apparatus 100 comprises an input part 10 for inputting feature amount data acquired from an analysis object, and a probability calculation part 20 for calculating predetermined survival rates of the analysis object according to gene expression profile data input from the input part 10, and the probability calculation part 20 has a plurality of estimators 21 for respective predetermined time points. The associated analysis of the gene expression profile and survival rate of the analysis object can analyze the survival rates of the analysis object (single sample) at the predetermined time points. COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：提供一种新的生存时间分析装置和存活时间分析方法，其可以通过关联和分析在预定时间点分析在分析对象（单个样本）中发生预定现象的概率分析对象的特征量数据和预定现象的发生。生存时间分析装置100包括用于输入从分析对象获取的特征量数据的输入部10和用于根据从分析对象输入的基因表达谱数据计算分析对象的预定存活率的概率计算部20 输入部分10和概率计算部分20在各个预定时间点具有多个估计器21。分析对象的基因表达谱和存活率的相关分析可以在预定时间点分析分析对象（单个样本）的存活率。版权所有（C）2006，JPO＆NCIPI

9. 发明专利

JP2006085284A Controller and program 有权
标题翻译：控制器和程序
公开(公告)号：JP2006085284A
公开(公告)日：2006-03-30
申请号：JP2004267307
申请日：2004-09-14
申请人： Nara Institute Of Science & Technology , Toyota Motor Corp , トヨタ自動車株式会社 , 国立大学法人奈良先端科学技術大学院大学
发明人： ISHII MAKOTO , NAKAMURA YASUSHI , ASO KAZUAKI
IPC分类号： G05B11/32 , G05B13/02 , G05B19/414 , G05B19/4155
摘要： PROBLEM TO BE SOLVED: To solve the problem of controllers of conventional technology wherein learning of control rules at high speed is difficult and require large amount of CPU power for control.
SOLUTION: The controller includes an observing part for observing the status of a device to be controlled to obtain two or more first-class parameters; a characteristic extracting part for obtaining, based on the two or more first-class parameters obtained by the observing part, second-class parameters that exist in a smaller number than the first-class parameters; and a control part for controlling the device to be controlled on the basis of the one or more second-class parameters obtained by the characteristic extracting part. This configuration enables the controller to compress the numerous parameters observed and thus learn the control rules for the device to be controlled at high speed.
COPYRIGHT: (C)2006,JPO&NCIPI
摘要翻译：要解决的问题：为了解决传统技术的控制器的问题，其中高速控制规则的学习是困难的，并且需要大量的CPU功率进行控制。解决方案：控制器包括用于观察要控制的设备的状态以获得两个或更多个一级参数的观察部件; 特征提取部分，用于基于由观察部分获得的两个或多个第一类参数获得存在于比第一类参数小的数量的二等参数; 以及控制部件，用于基于由特征提取部分获得的一个或多个二次参数来控制要被控制的装置。该配置使控制器可以压缩观察到的众多参数，从而了解要高速控制的设备的控制规则。版权所有（C）2006，JPO＆NCIPI

10. 发明专利

JP2004126857A Default data estimating device and method and default data estimating program and recording medium with its program recorded thereon 审中-公开
标题翻译：默认数据估计设备及其记录的程序和方法以及默认数据估计程序和记录介质
公开(公告)号：JP2004126857A
公开(公告)日：2004-04-22
申请号：JP2002288607
申请日：2002-10-01
申请人： Foundation For Nara Institute Of Science & Technology , 財団法人奈良先端科学技術大学院大学支援財団
发明人： ISHII MAKOTO , OBA SHIGEMASA
IPC分类号： G01N33/48 , G01N33/53 , G01N37/00 , G06F17/18
摘要： PROBLEM TO BE SOLVED: To provide a default data estimating device, a default data estimating method, a default data estimating program and a recording medium for recording its program thereon capable of highly precisely estimating default data by simple processing.
SOLUTION: A CPU 3 acquires a development amount matrix where the logarithmic values of the development amounts of gene development profile data are arranged, and estimates the parameter of a stochastic main component analytic model where each gene vector is interrupted as an independent sample in the development amount matrix by repeating Bayes estimation like a variational method under ARD preliminary probability distribution to estimate the missing value of the gene development profile data.
COPYRIGHT: (C)2004,JPO
摘要翻译：要解决的问题：提供一种默认数据估计装置，默认数据估计方法，默认数据估计程序和用于在其上记录其程序的记录介质，能够通过简单处理高精度地估计默认数据。解决方案：CPU 3获取排列基因发育特征数据的开发量的对数值的开发量矩阵，并且估计每个基因载体被中断的随机主成分分析模型的参数作为独立样本在开发量矩阵中，通过重复贝叶斯估计，如ARD初步概率分布下的变分法估计基因发育特征数据的缺失值。版权所有（C）2004，JPO

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