Results 361 to 370 of about 11,892,944 (395)
Some of the next articles are maybe not open access.
Domain-Adversarial Training of Neural Networks
Journal of machine learning research, 2015We introduce a new representation learning approach for domain adaptation, in which data at training and test time come from similar but different distributions.
Yaroslav Ganin+7 more
semanticscholar +1 more source
Journal of Audiovisual Media in Medicine, 1982
As part of the general enquiry by the Education Committee of the Institute of Medical and Biological Illustration into the desirability of introducing an examination scheme, two questionnaires were devised to seek the views of members on the question of tuition.
D. J. Drury+3 more
openaire +3 more sources
As part of the general enquiry by the Education Committee of the Institute of Medical and Biological Illustration into the desirability of introducing an examination scheme, two questionnaires were devised to seek the views of members on the question of tuition.
D. J. Drury+3 more
openaire +3 more sources
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
European Conference on Computer Vision, 2020Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatenate image region features and text features as input to the model to be pre-
Xiujun Li+11 more
semanticscholar +1 more source
2018 IEEE 14th International Conference on Control and Automation (ICCA), 2018
Deep learning has proven to be an effective method for classifying images. Over the past years various network topologies have been trained using millions of images only to illustrate that capabilities of deep learning is to be expected only to grow in time.
Ahmet Bugra Koku+3 more
openaire +1 more source
Deep learning has proven to be an effective method for classifying images. Over the past years various network topologies have been trained using millions of images only to illustrate that capabilities of deep learning is to be expected only to grow in time.
Ahmet Bugra Koku+3 more
openaire +1 more source
“Training, Training, Training”
2017This chapter deals with the Training system of the Iraqi armed forces. It describes the Training Division of the General Staff, its missions and responsibilities and its development, especially during the Iran-Iraq war, the Iraqi Military Doctrine and training methods, and the staff directorates subordinated to it.
Kevin M. Woods+3 more
openaire +1 more source
Active Shape Models-Their Training and Application
Computer Vision and Image Understanding, 1995!, Model-based vision is firmly established as a robust approach to recognizing and locating known rigid objects in the presence of noise, clutter, and occlusion.
Tim Cootes+3 more
semanticscholar +1 more source
Training Products of Experts by Minimizing Contrastive Divergence
Neural Computation, 2002It is possible to combine multiple latent-variable models of the same data by multiplying their probability distributions together and then renormalizing.
Geoffrey E. Hinton
semanticscholar +1 more source
Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
, 1997This paper considers whether it is possible to devise a nonexperimental procedure for evaluating a prototypical job training programme. Using rich nonexperimental data, we examine the performance of a two-stage evaluation methodology that (a) estimates ...
J. Heckman+2 more
semanticscholar +1 more source
Train-to-train propagation at 450 MHz
2017 11th European Conference on Antennas and Propagation (EUCAP), 2017Fundamental modernization of railway transportation is on the agenda of the Next Generation Train (NGT) project funded by the German Aerospace Center DLR as well as the Roll2Rail project within the Shift2Rail initiative. Reliable direct Train to Train (T2T) communication can significantly enhance train control and signaling towards semi or fully ...
Lehner, Andreas+2 more
openaire +3 more sources
Training to Teach, Teaching to Train
Pediatrics In Review, 20171. Joseph A. Zenel, MD 1. Editor-in-Chief Although privileged to be Editor-in-Chief of Pediatrics in Review (PIR) , I am even more privileged to be a pediatrics residency program director. Training future pediatricians similarly to the way pediatricians trained me is an opportunity to instill the inquisitiveness, compassion, and dedication I ...
openaire +3 more sources