Interactive unsupervised classication and visualization for browsing an image collection

Interactive unsupervised classification and visualization for browsing an image collection

Unsupervised Classification with Stochastic Complexity

1 Problem Statement In unsupervised classication, we are given a collection of samples and must label them to show their class membership, without knowing anything about the underlying data generating machinery, not even the number of classes. That is, we are given some sequence of observed objects 1; 2 Now we must assign each object to one of a number of classes C = C 1 ; : : : ; C c in an \op...

Cystoscopy Image Classication Using Deep Convolutional Neural Networks

In the past three decades, the use of smart methods in medical diagnostic systems has attractedthe attention of many researchers. However, no smart activity has been provided in the eld ofmedical image processing for diagnosis of bladder cancer through cystoscopy images despite the highprevalence in the world. In this paper, two well-known convolutional neural networks (CNNs) ...

Comparison Between Unsupervised and Supervise Fuzzy Clustering Method in Interactive Mode to Obtain the Best Result for Extract Subtle Patterns from Seismic Facies Maps

Pattern recognition on seismic data is a useful technique for generating seismic facies maps that capture changes in the geological depositional setting. Seismic facies analysis can be performed using the supervised and unsupervised pattern recognition methods. Each of these methods has its own advantages and disadvantages. In this paper, we compared and evaluated the capability of two unsuperv...

Interactive access to large image collections using similarity-based visualization

Image collections are getting larger and larger. To access those collections, systems for managing, searching, and browsing are necessary. Visualization plays an essential role in such systems. Existing visualization systems do not analyze all the problems occurring when dealing with large visual collections. In this paper, we make these problems explicit. From there, we establish three general...