KNN算法實現，初始化模糊成員等級 initialize fuzzy membership grades of sample output for fuzzy KNN
上傳時間： 2013-12-25
上傳用戶：waizhang
AM26C31CLow Power, I CC = 100 ƒ ⊂ A Typ Operate From a Single 5-V Supply High Speed, t PLH = t PHL = 7 ns Typ Low Pulse Distortion, t sk(p) = 0.5 ns Typ High Output Impedance in Power-Off Conditions Improved Replacement for AM26LS31
標簽： Operate Single Supply Power
上傳時間： 2014-01-20
上傳用戶：gtzj
The task in this assignment is to implement an airline routing system. Your system should be able to read in a ight network as a graph from a le, where airports are represented as vertices and ights between airports are represented as edges, take as input two airports and calculate the shortest route (ie path) between them.
標簽： system assignment implement airline
上傳時間： 2017-09-07
上傳用戶：kiklkook
The running time of quicksort can be improved in practice by taking advantage of the fast running time of insertion sort when its input is “nearly” sorted. When quicksort is called on a subarray with fewer than k elements, let it simply return without sorting the subarray. After the top-level call to quicksort returns, run insertion sort on the entire array to finish the sorting process.
標簽： running advantage quicksort improved
上傳時間： 2013-12-01
上傳用戶：梧桐
VideoMan (Video Manager) is an open-source C++ library that helps you developing video based applications. We created VideoMan to increase our productivity developing computer vision applications, but it can be used in many other ways. With VideoMan is very easy and fast to initialize any kind of video input like webcams, video files, frame grabbers, IEEE 1394 cameras and so on. You can initialize multiple inputs at the same time and show them in the screen. Also, you can show the results of the processing steps of your computer vision algorithm (extracted edges, back projections, detected blobs...) This way you can see the results of what are you coding, checking the results of your algorithm steps. Moreover, the implemented visualization scheme make easier to combine computer graphics with video, for example to show a 3d model on top of video for augmented reality applications.
標簽： open-source developing VideoMan Manager
上傳時間： 2014-01-21
上傳用戶：chongcongying
svd 算法代碼 This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C) programs for compiling within the "svdrun" script. The "svdsum" script can be run after all output files of the form <dataset>.outN, where N=1,2,... have been produced by svdrun. more details please read the file readme!
標簽： instrumented directory compiling SVDPACKC
上傳時間： 2017-09-24
上傳用戶：manking0408
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
標簽： 計算機視覺
上傳時間： 2015-03-15
上傳用戶：sb_zhang
A design about 8051 (running at 12MHz) based system with 3 7-Seg displays and two buttons to implement the following functions. 1. When press the + button, the display C = A+B. 2. When press the button, the display C = A - B. “A” and “B” are 8-bit inputs when “C” is 9-bit output.
上傳時間： 2015-05-05
上傳用戶：guoxiy
VIP+ is support software for YAMAHA RCX series robot controllers. In addition to the functions of the previously released "VIP Windows" software, VIP+ includes an easy-to-use GUI (graphical user interface). VIP+ also allows control by 2 or more controllers or access to a controller from 2 or more clients via Ethernet connection. ● With VIP+ you can: ? Do offline editing of all data used on robot controllers ? Operate and monitor robots connected to robot controllers ? Do online editing of all data used with robot controllers ? Back up and restore robot controller data ● Functions and features newly added to VIP+: ? Ethernet connection to controllers ? Supports data input in spreadsheet software format ? Seamless backup and restoring of controller information such as point data ? Syntax coloring ? Data transfer between the online controller and an offline document by drag & drop ? Executes online commands using a terminal window ? Controller tree and document tree functions similar to Windows Explorer
標簽： 雅馬哈 VIPplus
上傳時間： 2015-11-18
上傳用戶：anncol
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
