Stacked Autoencoder Based Weak Supervision for Social Image Understanding
نویسندگان
چکیده
منابع مشابه
Remote Sensing Image Classification Based on Stacked Denoising Autoencoder
Focused on the issue that conventional remote sensing image classification methods have run into the bottlenecks in accuracy, a new remote sensing image classification method inspired by deep learning is proposed, which is based on Stacked Denoising Autoencoder. First, the deep network model is built through the stacked layers of Denoising Autoencoder. Then, with noised input, the unsupervised ...
متن کاملStacked Robust Autoencoder for Classification
In this work we propose an lp-norm data fidelity constraint for training the autoencoder. Usually the Euclidean distance is used for this purpose; we generalize the l2-norm to the lp-norm; smaller values of p make the problem robust to outliers. The ensuing optimization problem is solved using the Augmented Lagrangian approach. The proposed lp -norm Autoencoder has been tested on benchmark deep...
متن کاملRelational Stacked Denoising Autoencoder for Tag Recommendation
Tag recommendation has become one of the most important ways of organizing and indexing online resources like articles, movies, and music. Since tagging information is usually very sparse, effective learning of the content representation for these resources is crucial to accurate tag recommendation. Recently, models proposed for tag recommendation, such as collaborative topic regression and its...
متن کاملAutoencoder-based holographic image restoration
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by direct light, conjugate light, and speckle noise, the discrimination of reconstructed images may be difficult. In this paper, we demonstrate the restoration of reconstructed images from holograms that record page data i...
متن کاملTowards Understanding Situated Text: Concept Labeling and Weak Supervision
Much of the focus of the natural language processing community lies in solving syntactic or semantic tasks with the aid of sophisticated machine learning algorithms and the encoding of linguistic prior knowledge. One of the most important features of natural languages is that their real-world use (as a tool for humans) is to communicate something about our physical reality or metaphysical consi...
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: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2898991