Perceptual Dominant Color Extraction by Multidimensional Particle Swarm Optimization
نویسندگان
چکیده
منابع مشابه
Perceptual Dominant Color Extraction by Multidimensional Particle Swarm Optimization
Color is the major source of information widely used in image analysis and content-based retrieval. Extracting dominant colors that are prominent in a visual scenery is of utmost importance since the human visual system primarily uses them for perception and similarity judgment. In this paper, we address dominant color extraction as a dynamic clustering problem and use techniques based on Parti...
متن کاملApical-dominant particle swarm optimization
Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish schooling. Many improvements have been proposed within the framework of this biological assumption. However, in this paper, the search pattern of PSO is used tomodel the branch growth process of natural plants. It provides a differen...
متن کاملOptimizing question answering systems by Accelerated Particle Swarm Optimization (APSO)
One of the most important research areas in natural language processing is Question Answering Systems (QASs). Existing search engines, with Google at the top, have many remarkable capabilities. But there is a basic limitation (search engines do not have deduction capability), a capability which a QAS is expected to have. In this perspective, a search engine may be viewed as a semi-mechanized QA...
متن کاملParticle Swarm Optimization for the Multidimensional Knapsack Problem
The multidimensional knapsack problem (MKP) is a combinatorial optimization problem belonging to the class of NP-hard problems. This study proposes a novel self-adaptive check and repair operator (SACRO) combined with particle swarm optimization (PSO) to solve the MKP. The traditional check and repair operator (CRO) uses a unique pseudo-utility ratio, whereas SACRO dynamically and automatically...
متن کاملMultidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. Al...
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: EURASIP Journal on Advances in Signal Processing
سال: 2010
ISSN: 1687-6180
DOI: 10.1155/2009/451638