Feature Vector Generation for Region-based Methods
DCT Sectorization for Feature Vector Generation in CBIR
... University) Vile Parle West, Mumbai -56, INDIA ABSTRACT We have introduced a novel idea of sectorization of DCT transformed components. In this paper we have proposed two different approaches along with augmentation of ...
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CBIR Using DCT for Feature Vector Generation
... The large numbers of image collections have posed increasing technical challenges to computer systems to store/transmit and index/manage image data effectively. With advances in digital technology there is an exponential ...
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Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
... power generation based on different weather parameters, date time information and previous hour values of photovoltaic power ...tree- based ensemble methods are that they have only a few ...
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Performance Comparisons of Novel Feature Vector Selection Methods for Iris Recognition
... transformation methods most of the important features of an image are get concentrated at its right hand side’s top corner, base on this new methods are proposed for selecting feature vector ...
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A Comparative Study of Sequential Feature Selection Methods for Support Vector Machine
... [3]. Based on the nature of algorithms, most methods for feature selection can be categorized to two types, ...such methods evaluate a feature based on its marginal contribution ...
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Analogical Face Generation based on Feature Points
... The knowledge-based method assumes that a person's face consists of two eyes, one nose and mouth, and each face element has a certain distance and position. And it is a method to detect faces considering the ...
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Generation of an Effective Training Feature Vector using VQ for Classification of Image Database
... Automatic Image Classification has become more important with the development of Internet and the growth in the size of image databases. It is a process of assigning images to a number of predefined categories. For large ...
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A Survey: Methods of Feature Based Image Registration
... each generation, the fitness of every individual in the population is evaluated, multiple individuals are stochastically selected from the current population (based on their fitness), and modified ...
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Bayesian texture classification and retrieval based on multiscale feature vector
... filtering methods, texture images are usually decomposed into several feature images through projection via a set of selected ...often based on repre- sentation such that textures are reconstructed ...
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Detection of Glaucoma based on Superpixel Generation and Feature Extraction
... the feature values for glaucoma ...by feature extraction where Contrast Enhanced histogram and center surround statistics (in which Gaussian pyramid based feature is used) are implemented, ...
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A Survey on Local Feature Based Face Recognition Methods
... ordinal feature extraction When comparing MLDF with the original LBP operator, it is more robust to uniform ...face region because of the similar reflection ratio of facial ...
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Development Of Feature Descriptor Based Methods For Images Annotation
... assortment based on image highlights, for example, color, surface, shape, and so on that can be consequently removed from the image ...element vector utilizing highlight ...highlight vector and ...
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Bleeding Detection in Wireless Capsule Endoscope Based on Color Feature Vector
... balancing based on linear transformation. Feature Extraction Color feature is important for bleeding ...color feature extraction, because CIELAB and CMYK represent the color with an intuitive ...
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Autoencoder-Based Feature Generation from Electroencephalograms of Microsleep Events
... Methods The system comprises a backend component that accepts MRI data from a web-based interactive frontend as REST re- quests. The MRI data is passed through a U-net model, fine-tuned on lumbar mri ...
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Bearing Fault Diagnosis using Multiclass Support Vector Machine with efficient Feature Selection Methods
... accuracy, feature selection is consider as essential. Fea- ture selection methods such as principal component analysis (PCA) [7] and Genetic algorithm (GA) [8] and J48 algorithm [9] are widely used to ...
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Multi-resolution Texture Visualization of Vector Field Based on Fuzzy Feature Measurement
... of Vector Field Based on Fuzzy Feature Measurement Xu Huaxun, Ma Qianli, Li Sikun, Zeng Liang, Cai Xun Abstract—Effectively visualizing the feature structures is a challenging work due to the ...
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Efficient cost aggregation for feature-vector-based wide-baseline stereo matching
... global methods due to their speed and ease of implementation. Local methods make implicit smoothness assumptions by aggregating costs within a finite window; however, cost aggregation is a time-consuming ...
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Update Summary Generation based on Semantically Adapted Vector Space Model
... into vector space model and similarity matrix is constructed by tsf-isf which utilizes ...issue, feature specific sentence ranking strategy is applied to all the sentences and high ranking sentences are ...
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Vision Navigation Based on the Fusion of Feature based Methods and Direct Methods
... classical feature-based method has to extract feature observations from the image as input, which performs poor in environments with little ...of feature-based method and direct method ...
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A REVIEW ON FEATURE BASED IMAGE SEARCHING METHODS
... retrieval based on semantic concepts like color, texture and edge histogram ...as feature, Color Moment and Block Truncation Coding (BTC) are used to extract features for image ...
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