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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Characterization of single amino acid substitutions in the β2 integrin subunit of patients with leukocyte adhesion deficiency (LAD)-1 by Guan, Siyu, Tan, Suet-Mien, Li, Yan, Torres, Jaume, Uzel, Gulbu, Xiang, Liming, Law, S.K. Alex

“…Integrins with the β2-G150D mutation fail to bind ligands, possibly due to the failure of the α1 segment of the βI domain to assume an α-helical structure. …”
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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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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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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. …”

Protein structure prediction using bidirectional neural networks by Chen, Jin Miao

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Business models for the base of the pyramid : how multinational corporations compete in a low-income environment by Diego Koenig

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Design of miniaturized inertia measurement unit by Yuan, Weiming.

“…Micro-machined electromechanical systems (MEMS) industry has seen rapid development and gained wide popularity. A particular segment which has exceptional growth is in the field of inertial MEMs. …”
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Abui stories : seven children by Chew, Grace Min Hui

“…Kratochvíl, the Abui folklore forms a significant segment for which he has translated into English, Bahasa Indonesia, and Mandarin, facilitating the accessibility of this obscure culture with regards to the modern context – both in Indonesia and abroad.…”
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Report on industrial attachment with Autodesk Asia Private Limited by Zhu, Chenyang

“…Few projects were undertaken during the internship at Autodesk including porting Memento to Mac OS X, add check video update functionality to Memento, Mesh Segmentation using OpenCL and design and implementation of Large Mesh Web Viewer. …”
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Super lubrication bottlebrush polymer particles synthesis using core cross-linking by Garnadi, Jovanca Kartika

“…We synthesized poly(dimethicone) (PDM-I) (bottlebrush polymer part) as the macroinitiator with ethylene glycol dimethacrylate as the cross-linking segment. Cross-linked bottlebrush polymer particles are not easily entangled and interpenetrated among each other due to the steric repulsion. …”
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Estimation of the partial volume effect in MRI by González Ballester, MA, Zisserman, AP, Brady, M

“…We have demonstrated in previous work that ignoring this effect by establishing binary voxel-based segmentations introduces significant errors in quantitative measurements, such as estimations of the volumes of brain structures. …”

A sparse object category model for efficient learning and complete recognition by Fergus, R, Perona, P, Zisserman, A

“…<p>We present a &ldquo;parts and structure&rdquo; model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter.</p> <p>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. …”

Semi-local projective invariants for the recognition of smooth plane curves by Carlsson, S, Mohr, R, Moons, T, Morin, L, Rothwell, C, Van Diest, M, Van Gool, L, Veillon, F, Zisserman, A

“…All the methods define a distinguished or canonical projective frame for the curve segment which is used for projective normalisation. …”

How many online workers are there in the world? A data-driven assessment by Kässi, O, Lehdonvirta, V, Stephany, F

“…Our results indicate that online freelancing represents a non-trivial segment of labour today, but one that is spread thinly across countries and sectors.…”

Made to order: discovering monotonic temporal changes via self-supervised video ordering by Yang, C, Xie, W, Zisserman, A

“…We also demonstrate that the attention-based attribution maps function as effective prompts for segmenting the changing regions, and that the learned representations can be used for downstream applications. …”