Objectlogic by Tan, Siew Hua

“…It is made up of two segments where the first is an station that holds an archive collection of sentences formed by others and myself based on the mixture of objects I curated in each box. …”
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Real-time navigation in 3D environments based on 2D sensor by Too, Zhi Loc

“…It is then used to do Simultaneous Localization and Mapping (SLAM). This report is segmented into hardware, which describes the hardware involved; programming, which describes the codes; discussions, which discusses the problems encountered and thought process. …”
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Discriminative learned dictionaries for local image analysis by Mairal, J, Bach, F, Ponce, J, Sapiro, G, Zisserman, A

“…This approach improves over the state of the art in texture segmentation experiments using the Brodatz database, and it paves the way for a novel scene analysis and recognition framework based on simultaneously learning discriminative and reconstructive dictionaries. …”

Deep learning-based concrete image analysis and generalization capability by Qian, Hanjie

“…To solve these problems, we propose an improved segmentation algorithm, specifically focusing on edge segmentation in SEM images, effectively enhancing the accuracy of SEM image segmentation. …”
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Paint-your-mind II: stylistic image creation by concept by Wang, Anyi

“…This report presents a novel approach to generate stylistic paintings from segmentation maps. The proposed method utilizes various image-to-image translation techniques, including artistic style transfer and image enhancement, to generate visually appealing and diverse paintings. …”
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Market outlook of VLCCs in the next 5 years by Cheah, Peifen.

“…Using the historical time charter equivalent (TCE) over the last 5 years as a measure of freight, the VLCC freight market would be segmented into 5 bands, classified under very weak, weak, steady, strong and very strong condition. …”
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Automated scene matching in movies by Schaffalitzky, F, Zisserman, A

“…The local spatial support of the features means that segmentation of the frame (e.g. into foreground/background) is not required, and partial occlusion is tolerated.…”

HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2002 by Gollub, Randy L., Bird, Stephanie J., Brown, E. N. (Emery N.), Fischl, Bruce, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Wald, Lawrence, Dale, Anders, Schmitt, F. (Franz), 1953-, Greve, Doug, Hoge, Rick, Jovicich, Jorge, Mandeville, Joe, Rosen, Bruce Robert, Savage, Cary, Savoy, Robert, Sorensen, A. Gregory, Tuch, David Solomon, 1973-, Vanduffel, Wim, Vangel, Mark Geoffrey, Bush, George

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 by Gollub, Randy L., Savoy, Robert, Wald, Lawrence, Banzett, Robert B., Dickerson, Bradford C, Melcher, Jennifer R., Kennedy, David N. (David Nelson), 1962-, Tuch, David Solomon, 1973-, Jovicich, Jorge, Greve, Doug, Mandeville, Joe, Vangel, Mark Geoffrey, Hoge, Rick, Blood, Anne, Hadjikhani, Nouchine, Moore, Christopher, Salat, David, Sigalovsky, Irina S., 1972-, Stufflebeam, Steven M, Zalesky, Martin

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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Complex composite derivative and its application to edge detection by Pan, Xiang, Ye, Yongqiang, Wang, Jianhong, Gao, Xudong, He, Chun, Wang, Danwei, Jiang, Bin, Li, Lihua

“…Both objective and subjective comparisons with other edge detectors are carried out, including evaluations through the use of the benchmark Berkeley Segmentation Dataset (BSDS500). In contrast with the classical first-order derivative, the composite derivative is order-steerable; one can adjust the orders of fractional integration and derivative to tune magnitude characteristic and reach a compromise between sensitivity to noise and detection accuracy.…”
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Improving air traffic control speech intelligibility by reducing speaking rate effectively by Hou, Nana, Tian, Xiaohai, Chng, Eng Siong, Ma, Bin, Li, Haizhou

“…Such identified phoneme segments can then be lengthened. We will examine effects of lengthening vowels-only, consonants-only, or homogeneous lengthening. …”
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The paradox of technology innovativeness and risk perceptions – a profile of Asian smartphone users by Wang, Xiaohui, Lee, Kwan Min

“…Results shows that Asian smartphone users can be segmented into four groups: innovators, conservatives, moderators, and laggards. …”
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AiNavUT: an intelligent navigation system for unmanned tractor in airport by Zhou, Yichen

“…To improve the performance of monocular ranging, a semantic segmentation network is introduced. Navigation: based on the localization results, the costmap will be generated for the subsequent navigation.…”
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Anomalous floquet non-Hermitian skin effect in a ring resonator lattice by Gao, He, Xue, Haoran, Gu, Zhongming, Li, Linhu, Zhu, Weiwei, Su, Zhongqing, Zhu, Jie, Zhang, Baile, Chong, Y. D.

“…Unlike existing approaches to achieving the NHSE by engineering gain and loss on different ring segments, our design uses fixed on-site gain or loss in each ring. …”
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Attack detection for cyber-physical systems: a zonotopic approach by Li, Jitao, Wang, Zhenhua, Shen, Yi, Xie, Lihua

“…These sets are online calculated via zonotopic segments minimization. Two approaches, namely, projection and polytopic conversion, are presented to check the intersection situation. …”
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Boundary detection in echocardiographic images by directional gradient vector flow by Krishnan, Shankar M., Cheng, Jierong, Foo, Say Wei

“…Snakes, or active contour models, have been widely used in image segmentation. In this paper, a new type of dynamic external force for snakes named directional gradient vector flow (DGVF) is proposed for the detection of left ventricular boundary from echocardiographic images. …”
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A sparse object category model for efficient learning and exhaustive recognition by Fergus, R, Perona, P, Zisserman, A

“…We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse representation of the object, and consists of a star topology configuration of parts modeling the output of a variety of feature detectors. …”

Complexities of the San Andreas fault near San Gorgonio Pass : implications for large earthquakes by Yule, Doug, Sieh, Kerry

“…Within a 20-km-wide contractional stepover between two segments of the fault zone, the San Bernardino and Coachella Valley segments, folds, and dextral-reverse and dextral-normal faults form an east-west belt of active structures. …”
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Protein structure prediction using bidirectional neural networks by Chen, Jin Miao

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Comparative study of telecommunications policies in Hong Kong, Malaysia and Singapore. by Chong, Patrick Piang Teng., Low, Kwong Hwee., Lum, Phyllis Siu Lin.

“…Competition has been introduced in selected segments of the market, while the state has kept—in the form of ownership and'or regulation—a strong presence in the sector.…”
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