Results 251 to 260 of about 1,627,187 (305)

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

, 2020
With the increasing threat of recurring landslides, susceptibility maps are expected to play a bigger role in promoting our understanding of future landslides and their magnitude.
D. Dao, A. Jaafari, M. Bayat, Davood Mafi-Gholami, Chongchong Qi, H. Moayedi, T. Phong, H. Ly, Tien-Thinh Le, P. T. Trinh, Chinh Luu, Nguyen Kim Quoc, Bui Nhi Thanh, B. Pham   +13 more
semanticscholar   +1 more source

Explicit Visual Prompts for Visual Object Tracking

AAAI Conference on Artificial Intelligence
How to effectively exploit spatio-temporal information is crucial to capture target appearance changes in visual tracking. However, most deep learning-based trackers mainly focus on designing a complicated appearance model or template updating strategy ...
Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li   +5 more
semanticscholar   +1 more source

Evolutionary Multitasking via Explicit Autoencoding

IEEE Transactions on Cybernetics, 2019
Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary computation. In contrast to the traditional single-task evolutionary search, EMT conducts evolutionary search on multiple tasks simultaneously.
Liang Feng, Lei Zhou, J. Zhong, Abhishek Gupta, Y. Ong, K. Tan, A. K. Qin   +6 more
semanticscholar   +1 more source

Explicit Finitism

International Journal of Theoretical Physics, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

StyleBank: An Explicit Representation for Neural Image Style Transfer

Computer Vision and Pattern Recognition, 2017
We propose StyleBank, which is composed of multiple convolution filter banks and each filter bank explicitly represents one style, for neural image style transfer. To transfer an image to a specific style, the corresponding filter bank is operated on top
Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, G. Hua   +4 more
semanticscholar   +1 more source

On Explicit Substitution with Names

Journal of Automated Reasoning, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rose, Kristoffer H., Bloo, Roel, Lang, Frederic   +2 more
openaire   +5 more sources

A Category of Explicit Fusions

2008
Name passing calculi are nowadays an established field on its own. Besides their practical relevance, they offered an intriguing challenge, since the standard operational, denotational and logical methods often proved inadequate to reason about these formalisms.
Filippo Bonchi, Maria Grazia Buscemi, Vincenzo Ciancia, Fabio Gadducci   +3 more
openaire   +2 more sources

Approximating Explicit Model Predictive Control Using Constrained Neural Networks

American Control Conference, 2018
This paper presents a method to compute an approximate explicit model predictive control (MPC) law using neural networks. The optimal MPC control law for constrained linear quadratic regulator (LQR) systems is piecewise affine on polytopes.
Steven W. Chen, K. Saulnier, Nikolay A. Atanasov, Daniel D. Lee, Vijay R. Kumar, George Pappas, M. Morari   +6 more
semanticscholar   +1 more source

Explicit Transformation Modeling

2010
Despite the pivotal significance of transformations for model-driven approaches, there have not been any attempts to explicitly model transformation languages yet. This paper presents a novel approach for the specification of transformations by modeling model transformation languages as domain-specific languages.
Thomas Kühne 0001, Gergely Mezei, Eugene Syriani, Hans Vangheluwe, Manuel Wimmer   +4 more
openaire   +2 more sources

Explicit Substitutions and Reducibility

Journal of Logic and Computation, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources