Gating Improves Neural Network Performance
نویسنده
چکیده
In this paper, our rst purpose is to study the performance of gating network functions in a committee machine setting. The problem of image deblur-ring is used to test the capability of such a system. Input clustering divides the task of deblurring into several subtasks. Each subtask is performed by a projection pursuit learning network (PPLN) 1]. We use a dynamic gating structure to combine outputs from various committee members. Our second purpose is to study the possibility of extending the role of the input signal beyond the decision making stage in the gating structure. Input data contain crucial structural information and characteristics of the data in a degraded form. The novel aspect of this work is the use of input signal with the output from the gating structure to produce the overall output. Resulting images show signiicant improvement over images that are produced from the output of the gating structure alone.
منابع مشابه
Convolutional Gating Network for Object Tracking
Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem. The paper presents a new model for combining convolutiona...
متن کاملRecurrent Scene Parsing with Perspective Understanding in the Loop
Objects may appear at arbitrary scales in perspective images of a scene, posing a challenge for recognition systems that process an image at a fixed resolution. We propose a depth-aware gating module that adaptively chooses the pooling field size in a convolutional network architecture according to the object scale (inversely proportional to the depth) so that small details can be preserved for...
متن کاملThe Use of Fundamental Color Stimulus to Improve the Performance of Artificial Neural Network Color Match Prediction Systems
In the present investigation attempts were made for the first time to use the fundamental color stimulus as the input for a fixed optimized neural network match prediction system. Four sets of data having different origins (i.e. different substrate, different colorant sets and different dyeing procedures) were used to train and test the performance of the network. The results showed that th...
متن کاملکاهش رنگ تصاویر با شبکههای عصبی خودسامانده چندمرحلهای و ویژگیهای افزونه
Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...
متن کاملNeural-Smith Predictor Method for Improvement of Networked Control Systems
Networked control systems (NCSs) are distributed control systems in which the nodes, including controllers, sensors, actuators, and plants are connected by a digital communication network such as the Internet. One of the most critical challenges in networked control systems is the stochastic time delay of arriving data packets in the communication network among the nodes. Using the Smith predic...
متن کامل