An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…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. …”

Image segmentation with minimal human supervision by Shin, G

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Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”

Features and classifiers for sentiment analysis of arabic tweets [electronic resource] / by Marwa Abdo Ali Alhazmi, 1986-, author 640611, Naomie Salim, supervisor 612144, Fakulti Komputeran 538688

Subjects: “…Sentiment analysis…”

Topic extraction and sentiment analysis of a subreddit (r/coronavirus) by Chong, You Min

“…The results showed that some negative sentiments were present among topics discussed, and vaccines were also commonly mentioned as a key topic. …”
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Predicting mental health using social media sentiment analysis by Seo, Don Kang Rui

“…Predict mental health using social media sentiment analysis with a focus on Singaporean Generation Z.…”
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Social media sentiment enhanced stock market prediction analysis by Tan, Adrian Yong Chang

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Relict and modern sediments on the continental shelf of the northern South China Sea: a reconsideration by Wang, Yuming, Chen, Xiaohong, Switzer, Adam D., Li, Linlin, Xu, Yang, Wang, Yukun, Zhang, Peizhen

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Annotation guideline for data labelling in sentiment analysis /cMohamad Syahir Azmir by Mohamad Syahir Azmir, 1983-, author 619910, Roliana Ibrahim, supervisor 603000, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Subjects: “…Sentiment analysis…”

Annotation guideline for data labelling in sentiment analysis /cMohamad Syahir Azmir by Mohamad Syahir Azmir, 1983- author 645385

Subjects: “…Sentiment analysis…”

Automated breast masses segmentation in digitized mammograms by Zhang, Han, Foo, Say Wei, Thng, Choon Hua, Krishnan, Shankar M.

“…In this paper, an automated segmentation method is proposed. The method is applied to the segmentation of breast masses in digitized mammograms and it operates on the whole mammograms instead of manually selected regions. …”
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Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

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Telacebec (Q203)-containing intermittent oral regimens sterilized mice infected with Mycobacterium ulcerans after only 16 doses by Chauffour, Aurélie, Robert, Jérôme, Veziris, Nicolas, Aubry, Alexandra, Pethe, Kevin, Jarlier, Vincent

“…These results are very promising for future intermittent oral regimens which would greatly simplify BU treatment in the field.…”
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Single-histogram class models for image segmentation by Schroff, F, Criminisi, A, Zisserman, A

“…The benefit of the single histograms is that they are much more efficient both in terms of memory and computational resources; and (ii) we show that bag of visual words histograms can provide an accurate pixel-wise segmentation of an image into object class regions. In this manner the compact models of visual object classes give simultaneous segmentation and recognition of image regions.…”

Scalable cascade inference for semantic image segmentation by Sturgess, P, Ladický, L, Crook, N, Torr, PHS

“…Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. …”

Referring expression segmentation: from conventional to generalized by Liu, Chang

“…Among the complex integrated tasks, one particularly challenging and important task is Referring Expression Segmentation (RES), which aims to generate a segmentation mask for a target object in a given image as described by a given natural language query expression, involving both computer vision and natural language processing. …”
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Risk approach towards geographical segment reporting. by Ong, B. W., Tan, P. P., Tan, Siok Hoon.

“…This paper proposed a new approach towards geographical segment reporting in the consolidated financial statements. …”
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Deep learning for object detection and image segmentation by Tan, Yan Hwa

“…In the proposed approach, we segmented and labelled multiple perspective of a view using a convolutional neural network. …”
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Fingerprint recognition with line segment Hausdorff distance by Liu, Chuan.

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Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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