The Pooling method
نویسندگان
چکیده
Probably one of the reasons the paper was awarded the best paper award is the social implication and the practical applicability that the technology described in the paper has. It is not so often that you come across papers in computer science that have such a broad social implication. As the authors argue, even a partial solution to the problem that the paper attempts to solve would have a broad economic and social impact. As we become more and more dependent on Information Technology in the everyday life, the negative effect of illiteracy on members of the society is bound to increase, further increasing the need for solving the problem.
منابع مشابه
A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images
Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...
متن کاملEarly detection of MS in fMRI images using deep learning techniques
Introduction & Objective:MS is a disease of the central nervous system in which the body makes a defensive attack on its tissues. The disease can affect the brain and spinal cord, causing a wide range of potential symptoms, including balance, movement and vision problems. MRI and fMRI images are a very important tool in the diagnosis and treatment of MS. The aim of this study was to provide...
متن کاملIncorporating location, routing, and inventory decisions in a bi-objective supply chain design problem with risk-pooling
This paper considers a single-sourcing network design problem for a three-level supply chain. For the first time, a novel mathematical model is presented considering risk-pooling, the inventory existence at distribution centers (DCs) under demand uncertainty, the existence of several alternatives to transport the product between facilities, and routing of vehicles from distribution centers to c...
متن کاملProtected Pooling Method of Sparse Coding in Visual Classification
Sparse Coding, a popular feature coding method, has shown superior performance in visual recognition tasks. Different pooling methods, such as average pooling and max pooling, are commonly employed after feature coding. However, it has not been explained clearly what characteristic accounts for the success of pooling method. In this paper, a new pooling method, namely protected pooling, is prop...
متن کاملMixed Pooling for Convolutional Neural Networks
Convolutional Neural Network (CNN) is a biologically inspired trainable architecture that can learn invariant features for a number of applications. In general, CNNs consist of alternating convolutional layers, non-linearity layers and feature pooling layers. In this work, a novel feature pooling method, named as mixed pooling, is proposed to regularize CNNs, which replaces the deterministic po...
متن کاملA Learning-based Frame Pooling Model For Event Detection
Detecting complex events in a large video collection crawled from video websites is a challenging task. When applying directly good image-based feature representation, e.g., HOG, SIFT, to videos, we have to face the problem of how to pool multiple frame feature representations into one feature representation. In this paper, we propose a novel learning-based frame pooling method. We formulate th...
متن کامل