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THIS PROGRAM IS PROVIDED "AS IS". TI MAKES NO WARRANTIES OR
Representations, EITHER EXPRESS, IMPLIED OR STATUTORY,
INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE, LACK OF VIRUSES, ACCURACY OR
COMPLETENESS OF RESPONSES, RESULTS AND LACK OF NEGLIGENCE.
TI DISCLAIMS ANY WARRANTY OF TITLE, QUIET ENJOYMENT, QUIET
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INTELLECTUAL PROPERTY RIGHTS WITH REGARD TO THE PROGRAM OR
標(biāo)簽：
Representations
WARRANTIES
PROVIDED
PROGRAM
上傳時(shí)間：
2015-09-16
上傳用戶：zq70996813
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a new
algorithm for computing sparse signal Representations using overcomplete
dictionaries
標(biāo)簽：
Representations
dictionaries
overcomplete
algorithm
上傳時(shí)間：
2015-12-05
上傳用戶：haoxiyizhong
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KML is an XML grammar used to encode and transport Representations of geographic data for display in an earth browser. Put simply: KML encodes what to show in an earth browser, and how to show it. KML uses a tag-based structure with nested elements and attributes and is based on the XML standard.
標(biāo)簽：
Representations
geographic
transport
grammar
上傳時(shí)間：
2014-01-12
上傳用戶：thesk123
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Symbolic Representations of Time Series...
SAX is just as good as other Representations, or working on the raw data for most problems (Slides shown at the end of this presentation)
標(biāo)簽：
Representations
Representations
Symbolic
working
上傳時(shí)間：
2014-01-16
上傳用戶：dongqiangqiang
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書名：基本商業(yè)程序的建模
Essential Business Process Modeling (Paperback)
作者： Mike Havey
出版商：O Reilly 1 edition (August 18, 2005)
內(nèi)容介紹：
Ten years ago, groupware bundled with email and calendar applications helped track the flow of work from person to person within an organization. Workflow in today s enterprise means more monitoring and orchestrating massive systems. A new technology called Business Process Management, or BPM, helps software architects and developers design, code, run, administer, and monitor complex network-based business processes.
BPM replaces those sketchy flowchart diagrams that business analysts draw on whiteboards with a precise model that uses standard graphical and XML Representations, and an architecture that allows it converse with other services, systems, and users.
標(biāo)簽：
Essential
Paperback
Business
Modeling
上傳時(shí)間：
2015-10-21
上傳用戶：zhangyigenius
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The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline Representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
標(biāo)簽：
image
registration
multiframe
techniques
上傳時(shí)間：
2016-01-20
上傳用戶：520
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THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design has not been verified on hardware (as opposed to simulations), and it should be used only as an example design, not as a fully functional core. XILINX does not warrant the performance, functionality, or operation of this Design will meet your requirements, or that the operation of the Design will be uninterrupted or error free, or that defects in the Design will be corrected. Furthermore, XILINX does not warrant or make any Representations regarding use or the results of the use of the Design in terms of correctness, accuracy, reliability or otherwise.
標(biāo)簽：
CONDITIONS
WARRANTIES
YOU
PROVIDED
上傳時(shí)間：
2016-03-21
上傳用戶：1427796291
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The CoinUtils project is a collection of open-source utilities developed and used by a variety of other projects in the COIN-OR repository. The project includes classes for storing and manipulating sparse matrices and vectors, performing matrix factorization, parsing input files in standard formats, building Representations of mathematical programs, comparing floating point numbers with a tolerance, performing simple presolve operations, and warm starting algorithms for mathematical programs, among others.
標(biāo)簽：
open-source
collection
CoinUtils
developed
上傳時(shí)間：
2013-12-19
上傳用戶：xmsmh
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The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output Representations of the system in order
標(biāo)簽：
identification
considered
features
separati
上傳時(shí)間：
2016-09-20
上傳用戶：FreeSky
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A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system Representations are input/state/output, difference equation, and left matrix fraction.
KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
標(biāo)簽：
identification
time-invariant
presented
emphasis
上傳時(shí)間：
2013-12-28
上傳用戶：wfl_yy
