[PDF] Top 20 Percepción de la sostenibilidad en los maestros en formación de educación infantil

... learning algorithm, it seems that the past classical algorithms have become ...pattern recognition model by combining some classical algorithms in the past and extrapolating the convolution ...is ... See full document

... of convolution and then concatenate the results of the ...atrous convolution with the rate = 6, 12, 18, and 24 in ...atrous convolution rate = 2, 4, 8, and 16 to obtain feature maps of ... See full document

... automatic recognition of vehicle with the deep convolution neural network (DCNN) based on deep learning framework CAFFE and GPU which has the strong computing ...the feature extraction ... See full document

... In recognition of similarity between freeform surface point clouds, the present study presented region segmentation-based combined feature variance-covariance matrix algorithm as ... See full document

... wrapper algorithm explores the space of features subsets to optimize the induction algorithm that uses the subset for ...methods based on penalization face a combinatorial challenge when the set of ... See full document

... MOT algorithm uses Mask R-CNN to identify the existence of target objects precisely and ...the feature extraction process takes place intending to improve the results of the tracking ...The feature ... See full document

... [7] combined CBIR (content Based Image Retrieval) for recognition of seeds and classification with ANN and Euclidean ...LEMS algorithm and provided greater accurarcy ...are combined to ... See full document

... The feature selection deals with the task of selecting the best feature set which reduces the classifier training time and as well as increase the classification ...the feature selection ... See full document

... expression recognition based on curvelet transform [18] [19] ...good feature vector than using the curvelet transform ...curvelet based LBP texture operator is a good feature extractor ... See full document

... In classification state we have used a Calibri font family with different image formats like JPEG, PNG and BMP and different font styles for each format and style we have tested with a number of images and the results ... See full document

... Speech is a natural mode of communication for people. We learn all the relevant skills during early childhood, without instruction, and we continue to rely on speech communication throughout our lives. Vocalizations can ... See full document

... (LPC) algorithm is based on linear predictive coefficients derived from the estimated predicted speech signal and the original speech signal [8, 9, ... See full document

... At First image is converted into gray scale, then it is broken into different lines by scanning each row of image if sum of total while pixel is less than a given threshold value it sense for new line. In one line of ... See full document

... Abstract: Nowadays for Personal Identification Numbers (PIN) and passwords an efficient and secure alternative has been used which is called e-security. Due to the various computer frauds like identity theft and computer ... See full document

... error-driven learning capability (Zhou and Su, 2000 & 2002). During training, for each anaphor encountered, a positive instance is created by pairing the anaphor and its closest antecedent while a set of negative ... See full document

... multi- feature map detection and multi-branch convolution ...each convolution layer in the network separately, because these features have different resolutions and correspond to objects of different ... See full document

... failure emerging because of biological variables or the client conduct. Since the multi-biometric frameworks combine test information gathered from various sources, it considerably improves accuracy and performance of ... See full document

... decoding algorithm of mul- ti-band LDPC codes is high and is not conducive to hardware implementa- tion, two simplified decoding algorithms for multi-band LDPC codes are stu- died: the reliability propagation ... See full document

... In some cases, (as shown in Figure 5b), over-clustering occurs. The performance of the spike sorting algorithms can be improved by an additional step that assess the similarity of the spikes in each cluster and merge the ... See full document

... Our method have some weaknesses to improve in the future. For instance, it is time-consuming when the flow structures are complicated. We will continue to simplify the calculation of membership value and explore further ... See full document