MULTI-DIMENSIONAL SCALING OF EMOTION

نویسندگان
چکیده

برای دانلود رایگان 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

Incremental Multi-Dimensional Scaling

Multi-Dimensional Scaling (MDS) is a widely used method for embedding a given distance matrix into a low dimensional space, used both as a preprocessing step for many machine learning problems, as well as a visualization tool in its own right. In this paper, we present an incremental version of MDS (iMDS). In iMDS, d-dimensional data points are presented in a stream, and the task is to embed th...

متن کامل

Discrete Multi-Dimensional Scaling

In recent years, a number of models of lexical access based on attractor networks have appeared. These models reproduce a number of effects seen in psycholinguistic experiments, but all suffer from unrealistic representations of lexical semantics. In an effort to improve this situation we are looking at techniques developed in the information retrieval literature that use the statistics found i...

متن کامل

Emotion and Multi-Dimensional Engineering

Yesterday, we believed the future is ours to see, but it becomes increasingly difficult with frequent and extensive changes to predict the future. But on the other side, as Internet of Things indicates, people and even things are getting more and more connected, and enormous amount of information is flying around the world. Therefore, now is the time for a change. We have to create the future. ...

متن کامل

Fast Discrete Multi-Dimensional Scaling

Multi-dimensional scaling (MDS) is the process of transforming a set of vectors in a high dimensional space to a lower dimensional one while preserving the similarity structure of the vectors. While effective methods have been found for solving this problem in the general case, they depend on the vectors in the lower dimensional space having real-valued components. However, for some application...

متن کامل

Texture Mapping via Spherical Multi-dimensional Scaling

We present a technique for texture mapping arbitrary sphere-like surfaces with minimal distortions by spherical embedding. The embedding is computed using spherical multi-dimensional scaling (MDS). MDS is a family of methods that map a set of points into a nite dimensional domain by minimizing the difference in distances between every pair of points in the original and the new embedding domain...

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: Japanese Psychological Research

سال: 1970

ISSN: 0021-5368,1468-5884

DOI: 10.4992/psycholres1954.12.45