Local SVM is constructed over query's neighborhood, which is developed under the guidance of an informative metric. And its training is based on a query-based objective function. Global SVM helps to define the new metric. Some heuristics proposed to specify neighborhood size and hyper parameters....
These deep learning-based methods for classifying neuronal morphology play a crucial role in the field of brain neuroscience. However, these methods have not completely solved the problem of accurately classifying neuron morphology, and there is a need to improve the accuracy rate. This paper propose...
The conditioning roughly follows the method described inClassifier-Free Diffusion Guidance(also used inImageGen). The model infuses timestep embeddingsteand context embeddingscewith the U-Net activations at a certain layeraL, via, aL+1=ceaL+te. ...
In this paper, a new classifier design methodology, confidence-based classifier design, is proposed to design classifiers with controlled confidence. This methodology is under the guidance of two optimal classification theories, a new classification theory for designing optimal classifiers with controlled ...
Unclear instruction could make it difficult for subjects to follow the experimenter’s guidance to achieve the desired task [65]. Since the AO task has been reported as an effective way to activate the human motor cortex with brain wave patterns similar to those induced by the MI task, we ...
It has much realistic significance to rapidly detect targets for large-field remote sensing images,especially within limited computation resources.Inspired by the cognitive characteristic and structure of selective attention in the human visual system,a novel model of target detection based on visual atten...
An Algorithm for Separating Guidance Information from Row Crop Images The threshold was selected using a Bayes classifier. The two image intensity classes were assumed to be independent Gaussian random variables. The ... J. F. Reid,,S. W. Searcy, - 《Trans Asae》 被引量: 70发表: 1988年...
The present study is based on the image processing techniques to identify and classify fungal rust disease of Pea. Rust disease is caused by Uromyces fabae
This methodology is under the guidance of two optimal classification theories, a new classification theory for designing optimal classifiers with controlled error rates and the C.K. Chow's optimal classification theory for designing optimal classifiers with controlled conditional error. The new methodology...
In this paper an improved BP neural network classifier based on decision attribute support and PSO is proposed to solve the problems of BP neural network, such as low speed in convergence, easily converging to local minimum, lacking of data analysis and reasonable guidance on the network ...