Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation
نویسندگان
چکیده
منابع مشابه
Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation
Linear-nonlinear (LN) models and their extensions have proven successful in describing transformations from stimuli to spiking responses of neurons in early stages of sensory hierarchies. Neural responses at later stages are highly nonlinear and have generally been better characterized in terms of their decoding performance on prespecified tasks. Here we develop a biologically plausible decodin...
متن کاملBayesian Quadratic Discriminant Analysis
Quadratic discriminant analysis is a common tool for classification, but estimation of the Gaussian parameters can be ill-posed. This paper contains theoretical and algorithmic contributions to Bayesian estimation for quadratic discriminant analysis. A distribution-based Bayesian classifier is derived using information geometry. Using a calculus of variations approach to define a functional Bre...
متن کاملClassification Using Linear Discriminant Analysis and Quadratic Discriminant Analysis
2 Classification of One-Dimensional Data 2 2.1 Linear Discriminant Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.1 Building the LDA Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.2 Results of One-Dimensional LDA Classification . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Quadratic Discriminant Analysis . . . . . ....
متن کاملNeural Network Based Nonlinear Discriminant Analysis for Speech Recognition
Neural networks have been one of the most successful recognition models for automatic speech recognition systems because of their high discriminative power and adaptive learning. In many speech recognition tasks, especially for discrete speech classification, it has been shown that neural networks are very powerful for classifying short-time acoustic-phonetic units, such as individual phonemes....
متن کاملAccelerated nonlinear discriminant analysis
In this paper, a novel nonlinear discriminant analysis is proposed. Experimental results show that the new method provides state of the art performance when combined with LSVM in terms of training time and accuracy.
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: Neural Computation
سال: 2016
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00890