根據(jù)rodrigues公式求3×3 旋轉(zhuǎn)矩陣 the rodrigues formula: http://en.Wikipedia.org/wiki/Rodrigues _rotation_formula
標(biāo)簽： rodrigues rotation_fo Rodrigues Wikipedia
上傳時(shí)間： 2013-12-14
上傳用戶：鳳臨西北
Autocomplete sugestion textbox from Google, yahoo, youtube, Wikipedia. in visual basic
標(biāo)簽： Autocomplete sugestion Wikipedia textbox
上傳時(shí)間： 2013-11-25
上傳用戶：wpwpwlxwlx
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.Wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標(biāo)簽： meta-learning classifiers combining Boosting
上傳時(shí)間： 2016-01-30
上傳用戶：songnanhua
Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimensions than two). For an introduction, refer to the Wikipedia article on Quaternions. Quaternion toolbox for Matlab® extends Matlab® to allow calculation with matrices of quaternions in almost the same way that one calculates with matrices of complex numbers. This is achieved by defining a private type to represent quaternion matrices and overloadings of many standard Matlab® functions. The toolbox supports real and complex quaternions (that is quaternions with four real or complex components).
標(biāo)簽： numbers generalizations hypercomplex Quaternions
上傳時(shí)間： 2014-11-27
上傳用戶：jhksyghr
The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.Wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.Wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve query results by relevance feedback. For processing your queries the program relies entirely on the content of the images, freeing you from the need to annotate all images before querying the collection.
標(biāo)簽： Image-Finding Retrieval Content System
上傳時(shí)間： 2014-01-11
上傳用戶：咔樂塢
第一部分：什么是SPI SPI是一種在FPGA和其他芯片之間傳輸數(shù)據(jù)的簡(jiǎn)單有效的接口方式.SPI是允許一個(gè)器件同其他一個(gè)或多個(gè)器件進(jìn)行通訊的簡(jiǎn)單接口。SPI是什么樣的？首先讓我們來看看兩個(gè)芯片之間的S P 1接口是如何連接的。在兩個(gè)芯片時(shí)間通訊時(shí)，SPl需要4條連線。正如你所看到的，他們是SCK，MISO，MOSI以及SSEL，其中一個(gè)芯片叫做主控芯片，另一個(gè)叫從芯片。SPI基礎(chǔ)http://en.Wikipedia.org/wiki/Serial_Peripheral Interface_Bus基本特點(diǎn)：1.同步2.串行3.全雙工4·非即插即用5.一主多從更多細(xì)節(jié)：1，同步時(shí)鐘有主控芯片產(chǎn)生，每個(gè)時(shí)鐘傳輸一位數(shù)據(jù)2，數(shù)據(jù)在傳輸前，首先許要進(jìn)行并轉(zhuǎn)串，才能用一條線傳輸3，兩條數(shù)據(jù)線，一條輸入、一條輸出4主從雙方有關(guān)于SPI傳輸?shù)南闰?yàn)知識(shí)，如比特順序、數(shù)據(jù)長(zhǎng)度等5，數(shù)據(jù)傳輸有主控芯片發(fā)起，每次只與一個(gè)從芯片通訊
上傳時(shí)間： 2022-06-26
上傳用戶：
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