Weightless neural networks for open set recognition

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Face Recognition with VG-RAM Weightless Neural Networks

Virtual Generalizing Random Access Memory Weightless Neural Networks (Vg-ram wnn) are effective machine learning tools that offer simple implementation and fast training and test. We examined the performance of Vg-ram wnn on face recognition using a well known face database—the AR Face Database. We evaluated two Vgram wnn architectures configured with different numbers of neurons and synapses p...

متن کامل

Vector space weightless neural networks

By embedding the boolean space Z2 as an orthonormal basis in a vector space we can treat the RAM based neuron as a matrix (operator) acting on the vector space. We show how this model (inspired by our research on quantum neural networks) is of sufficient generality as to have classical weighted (perceptronlike), classical weightless (RAM-based, PLN, etc), quantum weighted and quantum weightless...

متن کامل

Clustering data streams with weightless neural networks

Producing good quality clustering of data streams in real time is a difficult problem, since it is necessary to perform the analysis of data points arriving in a continuous style, with the support of quite limited computational resources. The incremental and evolving nature of the resulting clustering structures must reflect the dynamics of the target data stream. The WiSARD weightless perceptr...

متن کامل

Novel Modular Weightless Neural Architectures for Biometrics-based Recognition

We introduce a novel weightless artificial neural architecture based on multiple classifier systems. In this, different modules of a network specialise in recognising specific classes of a multiclass recognition task. Each of these modules comprises individual RAM addresses which store frequency-based probabilistic estimates of how likely it is to observe this pattern as a feature of the traini...

متن کامل

Computability and Learnability of Weightless Neural Networks

The aim of this paper is to compare what can be computed with what can be learnable by Artificial Neural Networks (ANN). We will approach the learnability problem in ANN by fixing a particular class of ANN: the weightless neural networks (WNN) ([4)) and restricting ourselves to a particular learning paradigm: learning to recognise sentences of a formallanguage. We will approach the computabilit...

متن کامل

ذخیره 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: Machine Learning

سال: 2017

ISSN: 0885-6125,1573-0565

DOI: 10.1007/s10994-017-5646-4