Results 51 to 60 of about 3,198,934 (350)

The Census of Exoplanets in Visual Binaries

, 2021
While numerous exoplanets have now been uncovered in stellar binaries, the impact of companion stars on planet formation and evolution is still not understood. From the Gaia DR2 catalog and an extensive literature search, we compiled the largest list to date of planets orbiting stars in visual comoving binaries out to 200 pc, providing a broad overview
Fontanive, Clémence, Bardalez Gagliuffi, Daniella   +1 more
openaire   +1 more source

RBIR Based on Signature Graph

, 2015
This paper approaches the image retrieval system on the base of visual features local region RBIR (region-based image retrieval). First of all, the paper presents a method for extracting the interest points based on Harris-Laplace to create the feature ...
Le, Thanh Manh, Van, Thanh The
core   +1 more source

Visual Binaries: Cross-Matching and Compiling of a Comprehensive List

Open Astronomy, 2015
Visual binary stars make up the largest set among observed types of binaries (currently more than 110 000 systems are known containing more than 230 000 components).
Isaeva A. A., Kovaleva D. A., Malkov O. Yu.   +2 more
doaj   +1 more source

Continuous and binary sets of responses differ in the field

Scientific Reports, 2022
This paper conducts a pre-registered study aimed to compare binary and continuous set of responses in survey questionnaires. Binary responses consist of two possible opposing response options (Yes/No).
Noelia Rivera-Garrido, M. P. Ramos-Sosa, Michela Accerenzi, Pablo Brañas-Garza   +3 more
doaj   +1 more source

Yin and Yang: Balancing and Answering Binary Visual Questions [PDF]

Computer Vision and Pattern Recognition, 2015
The complex compositional structure of language makes problems at the intersection of vision and language challenging. But language also provides a strong prior that can result in good superficial performance, without the underlying models truly ...
Peng Zhang, Yash Goyal, D. Summers-Stay, Dhruv Batra, Devi Parikh   +4 more
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Unsupervised Deep Hashing for Large-scale Visual Search

, 2016
Learning based hashing plays a pivotal role in large-scale visual search. However, most existing hashing algorithms tend to learn shallow models that do not seek representative binary codes.
Feng, Xiaoyi, Hadid, Abdenour, Peng, Jinye, Xia, Zhaoqiang   +3 more
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Supervised Hashing with End-to-End Binary Deep Neural Network

, 2018
Image hashing is a popular technique applied to large scale content-based visual retrieval due to its compact and efficient binary codes. Our work proposes a new end-to-end deep network architecture for supervised hashing which directly learns binary ...
Cheung, Ngai-Man, Do, Thanh-Toan, Tan, Dang-Khoa Le   +2 more
core   +1 more source

The triple degenerate star WD1704+481 [PDF]

, 2000
WD1704+481 is a visual binary in which both components are white dwarfs. We present spectra of the H-alpha line of both stars which show that one component (WD1704+481.2 = Sanduleak B = GR 577) is a close binary with two white dwarf components.
Han, Z., Marsh, T. R., Maxted, P. F. L., Moran, C. K. J.   +3 more
core   +4 more sources