21A.225J / SP.621J / WGS.621J Violence, Human Rights, and Justice, Fall 2004 by James, Erica

Subjects: Get full text

ASEAN into the Future: Need For Leadership by Ong, Keng Yong

“…Going forward the regional grouping has to confront new challenges even as the traditional ones remain a preoccupation.…”
Get full text
Get full text

Feature dimension reduction for microarray data analysis by Shi, Chao

“…Three feature reduction algo- rithms, fast entropy ranking, revised locally linear embedding, and feature grouping are proposed, analyzed and tested on several microarray datasets.…”
Get full text

The 3rd ADMM-Plus: Did the Media Get it Right? by Tan, See Seng

“…The decision by the recent ADMM-Plus meeting in Kuala Lumpur to scrap a planned joint declaration has been depicted in the media as another failure by the regional grouping to end on a positive note due to the South China Sea issue. …”
Get full text
Get full text

Reduction of dimensionality of a cellular actuator array for driving a robotic hand by Cho, Kyu-Jin, Ph. D. Massachusetts Institute of Technology

Get full text

Explaining the decision-making process. by Tan, Veronica., Lee, Mabel Liying.

“…Respondents do not react to the framing of the vouchers given and instead, choose their choice of voucher randomly. Neither grouping, gender, nationality and brand awareness has an effect on their choice of voucher.…”
Get full text

Distributed droop schemes for standalone and interlinked AC microgrids by Inam Ullah

“…Experimental results have verified the reduction or cost saving achieved. Like the grouping of DGs to form a single standalone microgrid, the grouping of multiple microgrids to form a larger interlinked system is possible and likely given its more efficient reserve sharing without demanding for standby generators. …”
Get full text

My music my way : a case study of identity contestation among Singaporean musicians by Dcruz, Nigel Jude

“…This paper argues for Singapore musicians to be seen as a heterogeneous group of individuals, with differing opinions, motivations and experiences and agency given their relatively disadvantaged position. …”
Get full text

Future failure rate prediction for transformers in power systems by Tan, Jia Le

“…The coefficients of these hazard functions are run through a clustering algorithm to calculate the grouping of brands. These groups will serve to simplify the data in future analysis.…”
Get full text

Global Human Resource Development : Regional and Country Perspectives / by Garavan, Thomas N., editor 517539, McCarthy, Alma, editor 655105, Morley, Michael, editor 312792

“…Specifically, the volume provides an overview of 17 regions, 85 countries and includes one emerging market grouping, CIVETS. This book examines the role of the state in HRD, the relationship between HRD and the level of economic development in the country or region, the influence of foreign direct investment within the country or region, and firm-level HRD practices within countries or regions. …”
Get full text
Get full text

Nation in action : making Chinese in the rural borderland between China and North Korea by Chen, Shiwei

“…Nationhood is constructed to embrace different ethnic groups through fostering recognition of the party. …”
Get full text
Get full text

Bioinformatics study of enteroviruses which cause waterborne diseases by Koh, Aik Nam.

“…Viruses belonging to this group spread via different pathways. In this study, focus will be placed on the group which are waterborne, and spread waterborne diseases. …”
Get full text

Perceputal rendering algorithm by Gong, Yi Fan

“…The K-mean Clustering method can generally reduced the pixel color calculation by grouping the similar color pixels. And the Visual Importance can help emphasize the parts that will be easily focused on by the human eye and omit the parts will hardly be noticed. …”
Get full text

Multiple centers based fuzzy clustering for imbalanced data by Liao, Hongda

“…Clustering for data mining is a useful technique in terms of identifying interesting distributions and discovering groups in the underlying data. K-means is a particular clustering technique that is world-renowned and widely spread for its low computational cost, which mainly includes the hard k-means clustering algorithms and the fuzzy k-means clustering algorithms. …”
Get full text

Blind drawing: investigation into screen location tracking for computer aided interactive drawing by Fernando, Sandra

“…This technique promotes an interactive and easy drawing environment to build objects, associations, layout information by zooming, navigation, and grouping. It will lead to future possibilities such as 3D world modelling, printing and multisensory integration of inputs and output methods.…”
Get full text

Object mining using a matching graph on very large image collections by Philbin, J, Zisserman, A

“…Often, what is required is that images taken in the same place, of the same thing, or of the same person be conceptually grouped together. This work focuses on grouping images containing the same object, despite significant changes in scale, viewpoint and partial occlusions, in very large (1M+) image collections automatically gathered from Flicker. …”

Mitochondrial genome of endangered Hylobatidae, Hylobates lar, and Hylobates agilis, of Peninsular Malaysia by Roberta Chaya Tawie Tingga, Millawati Gani, Badrul Munir Md-Zain

“…Phylogenetic analysis showed both species formed a strong monophyletic clade within Hylobates grouping. Mitogenomic data of this study is essential for future references in evolutionary biology and conservation management of endangered Malaysian gibbons in captivity.…”
Get full text

Holographic entropy inequalities and multipartite entanglement by Hernández-Cuenca, Sergio, Hubeny, Veronika E., Jia, Hewei F.

“…We study holographic entropy inequalities and their structural properties by making use of a judicious grouping of terms into certain multipartite information quantities. …”
Get full text

3D object recognition using invariance by Zisserman, A, Forsyth, D, Mundy, J, Rothwell, C, Liu, J, Pillow, N

“…These invariant measurements can be used to index a library of object models for recognition and provide a principled basis for the other stages of the recognition process such as feature grouping and hypothesis verification. Object models can be acquired directly from images, allowing efficient construction of model libraries without manual intervention.…”

Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”