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regimen » regimens (Expand Search), regime (Expand Search), regimes (Expand Search)
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1
Segmental reporting in Singapore
Published 2013“…This study was conducted primarily to examine the cost and benefit of segmental reporting and the necessity for it to remain mandatory by looking at the issue from both the perspective of the preparers of the financial statements and the end-users of these statements and recommend ways to improve the reporting wherever necessary. …”
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Final Year Project (FYP) -
2
Segmental reporting in Singapore
Published 2013“…This study was conducted primarily to examine the cost and benefit of segmental reporting and the necessity for it to remain mandatory by looking at the issue from both the perspective of the preparers of the financial statements and the end-users of these statements and recommend ways to improve the reporting wherever necessary. …”
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Final Year Project (FYP) -
3
Segmentation of histopathological images
Published 2014“…This project aims to segment histopathological images of lung tissues into its constituents such as cells, nuclei and blood vessels so that the status of the patients can be determined.…”
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Final Year Project (FYP) -
4
Interactive image segmentation
Published 2015“…The segmentation uses the constrained random walks algorithm, where foreground and background seeds are defined accordingly. …”
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Final Year Project (FYP) -
5
Efficient Segment Anything on the Edge
Published 2024“…The Segment-Anything Model (SAM) is a vision foundation model facilitating promptable and zero-shot image segmentation. …”
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Thesis -
6
Development of an API for EDU segmentation
Published 2023“…EDU stands for elementary discourse unit, which is a clause-like structure in a sentence. EDU segmentation, refers to determining the boundaries to split sentences into multiple EDUs. …”
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Final Year Project (FYP) -
7
Pylon model for semantic segmentation
Published 2012“…Graph cut optimization is one of the standard workhorses of image segmentation since for binary random field representations of the image, it gives globally optimal results and there are efficient polynomial time implementations. …”
Conference item -
8
Detection of story segments in news video footages
Published 2011“…A core component of content analysis is the ability to segment the content into semantically disjoint parts/concepts. …”
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Final Year Project (FYP) -
9
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Semantic segmentation with less annotation efforts
Published 2020“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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Thesis-Doctor of Philosophy -
11
Incremental learning technologies for semantic segmentation
Published 2022“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Thesis-Master by Coursework -
12
Chinese text segmentation for information retrieval
Published 2008“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Thesis -
13
Evaluation of watershed transform in image segmentation
Published 2008“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Thesis -
14
Search by image : clothing segmentation and retrieval
Published 2019“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Final Year Project (FYP) -
15
Delving deeper into the whorl of flower segmentation
Published 2009“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”
Journal article -
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An object category specific mrf for segmentation
Published 2007“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”
Conference item -
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Learning segmentation from point trajectories
Published 2025“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”
Conference item -
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Risk approach towards geographical segment reporting.
Published 2008“…This paper proposed a new approach towards geographical segment reporting in the consolidated financial statements. …”
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Final Year Project (FYP) -
20