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Human Boosting

Harsh H. Pareek, Pradeep Ravikumar
2013 International Conference on Machine Learning  
Our results show that boosting human learners produces gains in accuracy and can overcome some fundamental limitations of human learners.  ...  In this paper, we consider the problem of "boosting" human learners to extend the learning ability of human learners and achieve improved performance on tasks which individual humans find difficult.  ...  different problem of boosting human learners.  ... 
dblp:conf/icml/PareekR13 fatcat:s6fiqozrgbesjelmbqoase7pzy

Human Frontier repatriation boost

Quirin Schiermeier
2000 Nature  
Some say this violates the human right to freedom and protection of the body from ownership.  ...  These state that "the human body, its parts and products, and knowledge of entire or partial structure of the gene as such"cannot be patented.  ... 
doi:10.1038/35039703 pmid:11069153 fatcat:b7revedr6bdghelytmcqasvjnm

Opiates Possibly Boosted Human Civilization

Nader Charkhgard, Emran Razaghi
2021 Iranian Journal of Psychiatry and Behavioral Sciences  
: Testosterone is a fundamental biological drive for human survival.  ...  We further suggest that modern humans might have inherited the positive impact of opiates on early humans as a biological propensity for using opioids.  ...  To sum up, opiate use augmented the civilization of humans by adding different numbers of domesticated males to human colonies.  ... 
doi:10.5812/ijpbs.114491 fatcat:26otyjcjg5hvvo6gyv3tivnpd4

Boosting Human Learning by Hypnosis

D. Nemeth, K. Janacsek, B. Polner, Z. A. Kovacs
2012 Cerebral Cortex  
We compared learning in hypnosis and in the alert state and found that hypnosis boosted striatum-dependent sequence learning.  ...  Human learning and memory depend on multiple cognitive systems related to dissociable brain structures.  ...  Page 2 of 5 Boosting Human Learning by Hypnosis d Nemeth et al. by guest on March 29, 2012 http://cercor.oxfordjournals.org/ Downloaded from Cerebral Cortex Page 3 of 5 by guest on March 29  ... 
doi:10.1093/cercor/bhs068 pmid:22459017 fatcat:y2r7eku7f5dmzhuufqajvnyty4

PoseHD: Boosting Human Detectors Using Human Pose Information

Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
rate of human detectors.  ...  As most recently proposed methods for human detection have achieved a sufficiently high recall rate within a reasonable number of proposals, in this paper, we mainly focus on how to improve the precision  ...  This inspires us to put our focus on improving the precision rate (eliminating false positives from the initial proposals) in order to further boost the overall performance of human detectors.  ... 
doi:10.1609/aaai.v32i1.12285 fatcat:kourr7gjlvd4dd2jcla3nvps4e

Human-Centered Methods to Boost Productivity [chapter]

Brad A. Myers, Andrew J. Ko, Thomas D. LaToza, YoungSeok Yoon
2019 Rethinking Productivity in Software Engineering  
Since programming is a human activity, we can look to fields that have already developed methods to better understand the details of human interactions with technologies.  ...  In particular, the field of human-computer interaction (HCI) has dozens, if not hundreds, of methods that have been validated for answering a wide range of questions about human behaviors [4] .  ...  Chapter 13 human-Centered methods to Boost produCtivity  ... 
doi:10.1007/978-1-4842-4221-6_13 fatcat:cbwst2fu6jejxjduxw2zw7cm6m

Human Action Recognition Based on Boosting

Zhu Shao-Ping
2014 Sensors & Transducers  
Then visual words are used to represent human actions by using Bag of Words. Final boosting algorithm is used for human actions recognition.  ...  Human action recognition is an active research field in computer vision and image processing.  ...  Human Action Recognition Based on Boosting We use the Boosting algorithm to learn and recognize human actions. In human actions recognition, it may consist of six human actions (e. g.  ... 
doaj:82c54f948a5f448f8b489f362bd1de39 fatcat:kwfsciskknbu3dgxxspxnbd6qi

Memory-boosting devices tested in humans

Sara Reardon
2015 Nature  
NEUROSCIENCE Memory-enhancement trials move into humans Research suggests that electrodes could compensate for damaged tissue.  ...  By stimulating the brain only when a person read words that were likely to be forgotten, the researchers could boost performance by up to 140%.  ... 
doi:10.1038/527015a pmid:26536933 fatcat:eo4gknqwhbgbzkrfnxbcmixelu

Synthesizing Training Images for Boosting Human 3D Pose Estimation [article]

Wenzheng Chen and Huan Wang and Yangyan Li and Hao Su and Zhenhua Wang and Changhe Tu and Dani Lischinski and Daniel Cohen-Or and Baoquan Chen
2017 arXiv   pre-print
Human 3D pose estimation from a single image is a challenging task with numerous applications.  ...  We present a fully automatic, scalable approach that samples the human pose space for guiding the synthesis procedure and extracts clothing textures from real images.  ...  In this paper, we directly estimate 3D poses, with a focus on synthesis of effective training data for boosting the performance of deep CNN networks.  ... 
arXiv:1604.02703v6 fatcat:jlgkt646dngsfmnebzx73e4qbm

Boosting Interactive Evolution Using Human Computation Markets [chapter]

Joel Lehman, Risto Miikkulainen
2013 Lecture Notes in Computer Science  
by humans.  ...  This paper explores the potential for bypassing such fatigue by directly purchasing human input from human computation markets.  ...  Once a human completes the HIT, the results can be queried and approved so that the human user can be paid.  ... 
doi:10.1007/978-3-642-45008-2_1 fatcat:bjxhhdflizhvlgjyfekb3wgeim

Boosted Exemplar Learning for human action recognition

Tianzhu Zhang, Jing Liu, Si Liu, Yi Ouyang, Hanqing Lu
2009 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops  
Human action recognition has been an active research topic in computer vision.  ...  Second, we formulate the selection of the most discriminative exemplars into a boosted feature selection framework and simultaneously obtain a video-based action detector in the boosted learning process  ...  KTH Dataset The KTH human motion dataset (see Fig 9) contains six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping).  ... 
doi:10.1109/iccvw.2009.5457654 dblp:conf/iccvw/Zhang00OL09 fatcat:wbl7maoz45eutohgwec7fces5q

Organoid cultures boost human liver cell expansion

Stuart J. Forbes
2015 Hepatology  
pluripotent stem cell, iPSC; Lgr5, leucine-rich repeat containing G protein-coupled receptor 5; transforming growth factor beta, TGFbeta; Long-term culture of genome-stable bipotent stem cells from adult human  ...  These mice had very low, but detectable levels of human albumin in their blood.  ...  conditions are not recapitulated in vivo and although useful are "artificial" and do not inform the in vivo situation in mouse and human liver, or Primary human hepatocytes are used therapeutically  ... 
doi:10.1002/hep.27970 pmid:26146934 fatcat:e5xwgjyfebc7xiqdy6qphfuema

Boosted human re-identification using Riemannian manifolds

Sławomir Bąk, Etienne Corvée, Francois Brémond, Monique Thonnat
2012 Image and Vision Computing  
We investigate the signicance of MRC patches based on their reliability extracted during tracking and their discriminative power obtained by a boosting scheme.  ...  This paper presents an appearance-based model to address the human reidentication problem. Human re-identication is an important and still unsolved task in computer vision.  ...  From the set of weak classiers, boosting algorithm selects the ones which together form a strong classier. Details of boosting algorithm using condence-rated predictions can be found in [40] .  ... 
doi:10.1016/j.imavis.2011.08.008 fatcat:nym5zmflljcoxdfv2gt7tkznt4

Boosting Semantic Human Matting With Coarse Annotations

Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose to use coarse annotated data coupled with fine annotated data to boost endto-end semantic human matting without trimaps as extra input.  ...  Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions.  ...  Human image Matting.  ... 
doi:10.1109/cvpr42600.2020.00859 dblp:conf/cvpr/Liu0HCXZ020 fatcat:j573knoxqrgjfa4s7kwhofng3a

Boosting Semantic Human Matting with Coarse Annotations [article]

Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-sheng Hua
2020 arXiv   pre-print
In this paper, we propose to use coarse annotated data coupled with fine annotated data to boost end-to-end semantic human matting without trimaps as extra input.  ...  Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions.  ...  Human image Matting.  ... 
arXiv:2004.04955v1 fatcat:t4pvrrax4nakvczd6tayyxokji
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