Multilinear class-specific discriminant analysis

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

Multilinear class-specific discriminant analysis

There has been a great effort to transfer linear discriminant techniques that operate on vector data to high-order data, generally referred to as Multilinear Discriminant Analysis (MDA) techniques. Many existing works focus on maximizing the inter-class variances to intra-class variances defined on tensor data representations. However, there has not been any attempt to employ class-specific dis...

متن کامل

Class definition in discriminant feature analysis

The aim of discriminant feature analysis techniques in the signal processing of speech recognition systems is to find a feature vector transformation which maps a high dimensional input vector onto a low dimensional vector while retaining a maximum amount of information in the feature vector to discriminate between predefined classes. This paper points out the significance of the definition of ...

متن کامل

Multilinear Biased Discriminant Analysis: A Novel Method for Facial Action Unit Representation

In this paper a novel efficient method for representation of facial action units by encoding an image sequence as a fourth-order tensor is presented. The multilinear tensor-based extension of the biased discriminant analysis (BDA) algorithm, called multilinear biased discriminant analysis (MBDA), is first proposed. Then, we apply the MBDA and two-dimensional BDA (2DBDA) algorithms, as the dimen...

متن کامل

A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition

Biometric signals are mostly multidimensional objects, known as tensors. Recently, there has been a growing interest in multilinear discriminant analysis (MLDA) solutions operating directly on these tensorial data. However, the relationships among these algorithms and their connections to linear (vector-based) algorithms are not clear, and in-depth understanding is needed for further developmen...

متن کامل

Weighted Linear Discriminant Analysis based on Class Saliency Information

In this paper, we propose a new variant of Linear Discriminant Analysis to overcome underlying drawbacks of traditional LDA and other LDA variants targeting problems involving imbalanced classes. Traditional LDA sets assumptions related to Gaussian class distribution and neglects influence of outlier classes, that might hurt in performance. We exploit intuitions coming from a probabilistic inte...

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: Pattern Recognition Letters

سال: 2017

ISSN: 0167-8655

DOI: 10.1016/j.patrec.2017.10.027