Search Results - (( using selection method algorithm ) OR ( framework segmentation using algorithm ))
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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3
Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images
Published 2016“…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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4
Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images
Published 2016“…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…Thus, in this paper, a balance between detection accuracy and speed for SBD is addressed by presenting a new method for fast video processing. The proposed SBD framework is based on the concept of candidate segment selection with frame active area and separable moments. …”
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Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement
Published 2023“…Therefore, the proposed framework is proven to be competitive with other established methods and can be used as a complete algorithm.…”
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Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…The framework uses machine learning methods, including classification, clustering, feature selection, and parameter tuning, to improve accuracy and reliability. …”
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10
Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad
Published 2016“…Both models optimize acoustic features for source mobile device identification based on near-silent segments. The proposed feature sets along with selected feature extraction methods from the literature are analyzed and compared by using supervised learning techniques (i.e. support vector machines, nearest-neighbor, naïve Bayesian, neural network, logistic regression, and ensemble trees classifier), as well as unsupervised learning techniques (i.e. probabilistic-based and nearest-neighbor-based algorithms). …”
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On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee
Published 2021“…Second, it develops an adaptive structure selection method that removes detrimental structures and selects only useful information for point spread function (PSF) estimation. …”
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Blood cell image segmentation using unsupervised clustering techniques
Published 2009“…In this paper, we present a framework of comparison cell images segmentation by using unsupervised clustering techniques with the purpose of acquiring the best method to segment the cell images. …”
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A framework for white blood cell segmentation in microscopic blood images using digital image processing
Published 2009“…The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. …”
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Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin
Published 2018“…This automated segmentation algorithm has been benchmarked against manual segmentation by human experts. …”
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15
Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…The temporal micro cluster data structure is proposed in CC_TRS algorithm to store the summarized information for each group of similar segments. …”
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Human face detection using skin color segmentation and watershed algorithm
Published 2017“…Moreover, a new framework for efficient face detection using skin color segmentation is proposed. …”
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An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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A feature-based approach for segmenting faces
Published 2004“…The algorithm detects feature points from the image and groups them into face candidates using geometric and grey level constraints. …”
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