Titlebook: Recent Developments in Intelligent Computing, Communication and Devices; Proceedings of ICCD Srikanta Patnaik,Vipul Jain Conference procee

GRAIN

Research on Face Detection Based on Fast R-CNNased on Fast R-CNN. In this method, CNN algorithm, the Haar-Adaboost algorithm, and the candidate search algorithm are used to detect the candidate region of the face that may exist in the image. Then, the candidate region is input to the trained convolution neural network, and after a series of con

有毒

Research and Optimization of Data Sparsity in Collaborative Filtering Algorithmssonalized recommendation system occupies a pivotal position. Data sparse of users or projects limit the use of traditional collaborative filtering algorithms. In this paper, we optimize the recommendation of data sparseness to collaborative imprecision and use information entropy to optimize the sim

結(jié)合

A Robust Image Segmentation Approach Using Fuzzy C-Means Clustering with Local Coefficient of Variatues; however, fuzzy c-means (FCM) algorithms have been proven effectively. In order to retain more image details as well as canceling image noise, a novel clustering algorithm based on the local coefficient of variation is presented in this paper, termed as LCVFCM. The major characteristics of LCVFC

beta-carotene

含鐵

Augmenting Concolic Testing with Weighted Constraints-Based Searchrograms testing. While path explosion still a primary challenge in scaling concolic testing to large programs, meanwhile constraint solving is fundamental to concolic testing as a constraint solver is continuously invoked during analysis, while the main roadblock to performance of concolic testing e

offense

Research of TDOA Cooperative Direction Finding Algorithm Based on LLS and Taylorccuracy of linear least squares (LLS) algorithm decreased. Iterative Taylor Series (Taylor) algorithm had high accuracy, but a dependency on the initial value. In order to compensate both shortcomings, a cooperative algorithm was proposed firstly, which combined the LLS with the Taylor. Then, the me

使無(wú)效

KCF Tracking Algorithm Based on Outlier Detectiondue to illumination variation, severe occlusion, and out of view, this paper leads to the anomaly detection method as the target loss warning mechanism based on KCF, and at the same time, a target loss re-detection mechanism is proposed. This method detects the peak value of the response of each fra

符合規(guī)定

Spectral Clustering Algorithm Based on Attribute Weight of Information Entropys the current common solutions, namely based on the sparse t-nearest neighbor spectral clustering. In order to improve the accuracy of the spectral clustering algorithms, the Euclidean distance based on the attribute weight of information entropy is proposed to calculate the similarity between the s

NIL

Interference?Location Using an Improved TDOA Algorithm with Antenna Array and Beamforming source may interfere with the performance of the receiver. However, with the geomagnetic white noise interference, interference detection is hard for a normal TDOA algorithm. In this paper, an improved interfere detection method is proposed. Single receiving antenna has been replaced by array anten

PAC