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A stochastic approach to image retrieval using relevance feedback and particle swarm optimization
Understanding the subjective meaning of a visual query, by converting it into numerical
parameters that can be extracted and compared by a computer, is the paramount challenge …
parameters that can be extracted and compared by a computer, is the paramount challenge …
Multistrategy self‐organizing map learning for classification problems
Multistrategy Learning of Self‐Organizing Map (SOM) and Particle Swarm Optimization
(PSO) is commonly implemented in clustering domain due to its capabilities in handling …
(PSO) is commonly implemented in clustering domain due to its capabilities in handling …
[کتاب][B] Experiment and Evaluation in Information Retrieval Models
K Latha - 2017 - taylorfrancis.com
Experiment and Evaluation in Information Retrieval Models explores different algorithms for
the application of evolutionary computation to the field of information retrieval (IR). As well as …
the application of evolutionary computation to the field of information retrieval (IR). As well as …
Application of nature—Inspired algorithms in medical image processing
SK Suguna, R Ranganathan, J Sangeetha… - Advances in Nature …, 2019 - Springer
Medical image processing plays an indispensable role in our day-to-day life, as every
individual is dependent on it in some of the other aspects. The dependency is quite essential …
individual is dependent on it in some of the other aspects. The dependency is quite essential …
Framework and Implimentation of an Agent Based Congestion Control Technique for Mobile Ad-hoc Network
Abstract In Mobile Ad hoc Networks (MANETs) obstruction occurs due to the packet failure
and it can be successfully reduced by involving congestion control scheme which includes …
and it can be successfully reduced by involving congestion control scheme which includes …
Image retrieval using particle swarm optimization
Content-based image retrieval (CBIR) exploits visual content descriptions to index and
search images from large-scale image databases. It has been an active and fast-advancing …
search images from large-scale image databases. It has been an active and fast-advancing …
A hybrid algorithm for satellite image classification
Remote sensing is the most relevant science that permits us to acquire information about the
surface of the land, without having actual contact with the area being observed. Amongst the …
surface of the land, without having actual contact with the area being observed. Amongst the …
[PDF][PDF] Decision gap within swarm in natural terrain feature identification
In recent years, researchers have started analyzing the swarm intelligence methods to solve
complex problems. These techniques have spurred their applications in various fields; …
complex problems. These techniques have spurred their applications in various fields; …
Stochastic optimized relevance feedback particle swarm optimization for content based image retrieval
One of the major challenges for the CBIR is to bridge the gap between low level features
and high level semantics according to the need of the user. To overcome this gap, relevance …
and high level semantics according to the need of the user. To overcome this gap, relevance …
Similar-Dissimilar Victor Measure Analysis to Improve Image Knowledge Discovery Capacity of SOM
N Chenthalir Indra, E RamaRaj - International Conference on Advances in …, 2010 - Springer
Abstract Knowledge Discovery and Data Mining (KDD) is an interdisciplinary area focusing
on methodologies for extracting useful knowledge from data. Patterns of relations of data …
on methodologies for extracting useful knowledge from data. Patterns of relations of data …