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(biāo)簽： running advantage quicksort improved
上傳時(shí)間： 2013-12-01
上傳用戶(hù)：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(biāo)簽： open-source developing VideoMan Manager
上傳時(shí)間： 2014-01-21
上傳用戶(hù)：chongcongying
RANSAC (RANdom SAmple Consensus) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. Source code is in Document
標(biāo)簽： mathematical parameters Consensus iterative
上傳時(shí)間： 2017-09-09
上傳用戶(hù)：a6697238
Java的面向?qū)ο缶幊?掌握類(lèi)的定義以及繼承機(jī)制，熟悉方法的多態(tài)性。1、 成下面父類(lèi)及子類(lèi)的聲明：（1）聲明Student類(lèi)。屬性包括學(xué)號(hào)、姓名、英語(yǔ)成績(jī)、數(shù)學(xué)成績(jī)、計(jì)算機(jī)成績(jī)和總成績(jī)。方法包括構(gòu)造方法、get方法、set方法、toString方法、equals方法、compare方法（比較兩個(gè)學(xué)生的總成績(jī)，結(jié)果分大于、小于、等于）、sum方法（計(jì)算總成績(jī)）和testScore方法（計(jì)算評(píng)測(cè)成績(jī)，即平均成績(jī)
上傳時(shí)間： 2017-09-12
上傳用戶(hù)：ecooo
TdcHintEx Provides your users with a cool transparent hint. It replaces standard Delphi hint window. Just drop a TdcHintEx in your main form. Set Enabled to True. And run your application. Oh btw, please set ShowHint to True.. :) Drop me a line, and tell me what you think of it. Antony Hoon antony7777@telkom.net
標(biāo)簽： hint transparent TdcHintEx Provides
上傳時(shí)間： 2014-01-12
上傳用戶(hù)：181992417
Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
標(biāo)簽： containing Features estimate spectral
上傳時(shí)間： 2014-02-09
上傳用戶(hù)：daguda
as a message came into prominence with the publication in 1948 of an influential paper by Claude Shannon, "A Mathematical Theory of Communication." This paper provides the foundations of information theory and endows the word information not only with a technical meaning but also a measure. If the sending device is equally likely to send any one of a set of N messages, then the preferred measure of "the information produced when one message is chosen from the set" is the base two logarithm of N (This measure is called self-information). In this paper, Shannon cont
標(biāo)簽： influential publication prominence message
上傳時(shí)間： 2014-01-21
上傳用戶(hù)：2404
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(biāo)簽： 計(jì)算機(jī)視覺(jué)
上傳時(shí)間： 2015-03-15
上傳用戶(hù)：sb_zhang
水平集代碼及文章（李春明）：Level Set Evolution Without Re-initialization: A New Variational Formulation
標(biāo)簽： 水平集代碼及文章（李春明）
上傳時(shí)間： 2015-03-16
上傳用戶(hù)：FQ967
TETRA指令集 全英文版 會(huì)的人可以翻譯一下
上傳時(shí)間： 2015-04-10
上傳用戶(hù)：jack_luo
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