Broad Attribute Prediction Model With Enhanced Attribute and Feature

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

Improving attribute prediction through Network-Augmented Attribute Prediction

We propose a method for predicting individuals’ attributes based on partially observed social network data. The Network-Augmented Attribute Prediction (NAAP) procedure uses observed individuals’ nodal and network attributes to infer unobserved network connections and then uses these predicted network connections to predict unobserved characteristics of individuals. We demonstrate that inclusion...

متن کامل

Attribute-Based Feature Tracking

Visualization of time-dependent data is an enormous task because of the vast amount of data involved. However, most of the time the scientist is mainly interested in the evolution of certain features. Therefore, it suuces to show the evolution of these features. The task of the visualization system is to extract the features from all frames, to track the features, i.e. to determine the correspo...

متن کامل

Clustered Multi-task Feature Learning for Attribute Prediction

Semantic attributes have been proposed to bridge the semantic gap between low-level feature representation and high-level semantic understanding of visual objects. Obtaining a good representation of semantic attributes usually requires learning from high-dimensional low-level features, which often suffers from the curse of dimensionality. Designing a good feature-selection approach would benefi...

متن کامل

Clustering-Based Joint Feature Selection for Semantic Attribute Prediction

Semantic attributes have been proposed to bridge the semantic gap between low-level feature representation and high-level semantic understanding of visual objects. Obtaining a good representation of semantic attributes usually requires learning from high-dimensional low-level features, which not only significantly increases the time and space requirement but also degrades the performance due to...

متن کامل

Attribute Classification Using Feature Analysis

The basis of many systems that integrate data from multiple sources is a set of correspondences between source schemata and a target schema. Correspondences express a relationship between sets of source attributes, possibly from multiple sources, and a set of target attributes. Clio is an integration tool that assists users in de ning value correspondences between attributes [1]. In real life s...

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: IEEE Access

سال: 2019

ISSN: 2169-3536

DOI: 10.1109/access.2019.2938349