These instances, whenmapped to an N-dimensional space, represent a core set that can be used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning problem on these core sets can produce a good approximation solution in very fast speed. For example, the core-vector machine [81] thus produced can learn an SVM for millions of data in seconds.
標簽： N-dimensional whenmapped instances represent
上傳時間： 2016-11-23
上傳用戶：lixinxiang
designed a lowpass filter to extract cos(0.1*pi) component from x(n)
標簽： component designed lowpass extract
上傳時間： 2014-01-12
上傳用戶：xinzhch
changed to mark all items in Flash as read-only by default
標簽： read-only changed default Flash
上傳時間： 2014-02-24
上傳用戶：784533221
karatsuba multiplication using vectors. O(n^l.6). Base 10. To change to higher bases like 10000 you have to change the multiply order.
標簽： multiplication karatsuba vectors change
上傳時間： 2014-01-25
上傳用戶：han_zh
Simo traces the ser for a simo system :n transmit antenna and 1 recieve antenna and compare it to an alamouti system
標簽： antenna and transmit compare
上傳時間： 2017-03-23
上傳用戶：jqy_china
Ask Modulation-it s very kool n ready for u guy to hit it up
標簽： Modulation-it ready very kool
上傳時間： 2017-04-23
上傳用戶：jackgao
Ask Modulation-it s very kool n ready for u guy to hit it up
標簽： Modulation-it ready very kool
上傳時間： 2013-12-13
上傳用戶：refent
it s very kool n ready for u guy to hit it up
上傳時間： 2017-04-23
上傳用戶：anng
to scan the LAN n find out who all hav current logged into the network
標簽： the current network logged
上傳時間： 2013-12-23
上傳用戶：kelimu
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
標簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
