EVC應用程序，可以直接和DISPLAY DRIVER通訊，也用與X-SCALE 27X平臺。
上傳時間： 2016-11-28
上傳用戶：sevenbestfei
state of art language modeling methods: An Empirical Study of Smoothing Techniques for Language Modeling.pdf BLEU, a Method for Automatic Evaluation of Machine Translation.pdf Class-based n-gram models of natural language.pdf Distributed Language Modeling for N-best List Re-ranking.pdf Distributed Word Clustering for Large SCALE Class-Based Language Modeling in.pdf
標簽： Techniques Empirical Smoothing Language
上傳時間： 2016-12-26
上傳用戶：zhuoying119
BugNET is an issue tracking and project issue management solution built using the ASP.NET web application framework. Email notifications, reporting and per project configuration of fields and values allows efficient management of bugs, feature requests, and other issues for projects of any SCALE.
標簽： issue management tracking solution
上傳時間： 2014-08-10
上傳用戶：181992417
ecos RTOS 原理介紹和應用開發(fā)The design philosophy of eCos was to augment an open-source RTOS (which meant no per-unit royalties) with source-level con?guration tools that would enable embedded developers to SCALE their RTOS from hundreds of bytes to hundreds of kilobytes without needing to manu- ally change a line of source code.
標簽： RTOS open-source philosophy augment
上傳時間： 2013-12-16
上傳用戶：天涯
Interactive smoothing for your own data, with sliders to control derivative order, smooth width, and SCALE expansion.
標簽： Interactive derivative smoothing control
上傳時間： 2014-11-29
上傳用戶：lanjisu111
This is a simple algorithm that downloads trading data from yahoo database. It is basically a large SCALE application of sqq.m which was originally submitted by Michael Boldin, link at acknowledgements. Some of the functionalities of the package: - User defined ticker list. - Function for downloading most recent SP500 composition in ticker list. - Control for bad data (e.g. a certain percentage of prices missing). - Choice of frequency of data (e.g. weekly prices). - Choice of starting and ending data. - Function for saving the whole data in a pre-formatted excel file together with a full reports on missing data.
標簽： algorithm downloads basically database
上傳時間： 2017-06-03
上傳用戶：啊颯颯大師的
The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT algorithm (following the ideas in the CMU Task parallel suite). 1.- Generates an input signal vector (dgen) with size n=n1xn2 stored in row major order In this code the size of the input signal is NN=NxN (n=NN, n1=n2=N) 2.- Transpose (tpose) A to have it stored in column major order 3.- Perform independent FFTs on the rows (cffts) 4.- SCALE each element of the resulting array by a factor of w[n]**(p*q) 5.- Transpose (tpose) to prepair it for the next step 6.- Perform independent FFTs on the rows (cffts) 7.- Transpose the resulting matrix The code requires nested Parallelism.
標簽： iterations performs Bailey number
上傳時間： 2014-01-05
上傳用戶：libenshu01
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly SCALE randomize the row order of a matrix
標簽： matlab learning routines m-files
上傳時間： 2017-07-24
上傳用戶：evil
ESRIMapObjectsLT 2 and MicrosoftVisual Basic6 to build an application that uses maps. Display a map with multiple layers. Control panning and zooming. Create a toolbar control. Base the display of map layers on SCALE. Perform spatial and logical queries. Display features with thematic renderers. Add vector data and images to a map programmatically.
標簽： ESRIMapObjectsLT MicrosoftVisual application Display
上傳時間： 2013-12-18
上傳用戶：dbs012280
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
