An adaptive psychophysical method for subject classification
نویسندگان
چکیده
منابع مشابه
An adaptive classification method for multimedia retrieval
Relevance feedback can effectively improve the performance of content-based multimedia retrieval systems. To be effective, a relevance feedback approach must be able to efficiently capture the user’s query concept from a very limited number of training samples. To address this issue, we propose a novel adaptive classification method using random forests, which is a machine learning algorithm wi...
متن کاملAn adaptive estimation method to predict thermal comfort indices man using car classification neural deep belief
Human thermal comfort and discomfort of many experimental and theoretical indices are calculated using the input data the indicator of climatic elements are such as wind speed, temperature, humidity, solar radiation, etc. The daily data of temperature، wind speed، relative humidity، and cloudiness between the years 1382-1392 were used. In the First step، Tmrt parameter was calculated in the Ray...
متن کاملAn Adaptive Lasso Method for Dimensionality Reduction in Classification
Producing high-dimensional classification methods is becoming an increasingly important problem. In this article, we propose an adaptive Lasso search (ALS) approach which first reduces the dimension of the data space and then applies a standard classification method to the reduced space. One key advantage of ALS is that it automatically adjusts to either mimic variable selection type methods, s...
متن کاملAn adaptive method for combined covariance estimation and classification
In this paper a family of adaptive covariance estimators is proposed to mitigate the problem of limited training samples for application to hyperspectral data analysis in quadratic maximum likelihood classification. These estimators are the combination of adaptive classification procedures and regularized covariance estimators. In these proposed estimators, the semi-labeled samples (whose label...
متن کاملAn Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Perception & Psychophysics
سال: 1997
ISSN: 0031-5117,1532-5962
DOI: 10.3758/bf03205515