correspondence analysis of a document-feature matrixKenneth Benoit
The RGB to YIQ conversion is defined as: [Y] [0.299 0.587 0.114] [R] [I] = [0.596 -0.275 -0.321] [G] [Q] [0.212 -0.523 0.311] [B] In order to obtain the RGB values from a set of YIQ values, simply perform the inverse matrix operation. ...
docs: update language support matrix and add new features to README.md Mar 14, 2024 pycharm/src refactor(devins-language): rename service for DevIns unit-mesh#101 Mar 16, 2024 rust/src refactor(devins-language): rename service for DevIns unit-mesh#101 Mar 16, 2024 ...
The hidden unit of an RNN is equal to ht=f(XtUt+ht−1Wht−1ht), where t is time step, W, U, V are the weight matrix and f is an active function. In an RNN model, each word (hidden unit) affects all the subsequent words (hidden units). Given the sentence “I like movie...
The main problem of document classification is high dimensionality and sparsity of the data matrix. A new feature selection technique using the google distance have been proposed in this article to effectively obtain a feature subset which improves the classification accuracy. Normalized google distance ...
The classification accuracy of Cubic SVM is confirmed by the confusion matrix shown in Figure 7b. The second highest accuracy of 87.1% with FNR of 12.9%, and training time of 1996 s was achieved on Q-SVM. The detailed results of this experiment on multiple classifiers are listed in Table ...
An image captured by the sensor 32 is hence composed of pixels arranged in a rectangular matrix and is described by the pixel data. In the illustration of the image of a value document 12 in FIG. 3 there are shown for clarity's sake only some of the pixels 44, which are moreover rep...
Results SNP microarray revealed nonmosaic gain of the short arm of chromosome 9. A nonmosaic isodicentric chromosome 9 was identified in the peripheral blood but this rearranged chromosome was detected in only 8.3% of the skin fibroblasts. Chromosomal abnormalities were not detected in the pilomatri...
The proposed method uses generic summarization based on the semantic features of non-negative matrix factorization to extract sentences that well reflect the major topics of the searched documents. In addition, this method reduces the semantic gap between the low level of summarizing search results ...
SOLUTION: A word-document matrix updating means 210 updates a word- document matrix and a base vector calculation means 220 calculates a base vector covering an effective feature value space from the updated word- document matrix. A feature value extraction means 230 extracts the feature value of...