Results 61 to 70 of about 503,024 (210)

Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance

Journal of Imaging
Learned systems in the domain of visual recognition and cognition impress in part because even though they are trained with datasets many orders of magnitude smaller than the full population of possible images, they exhibit sufficient generalization to ...
Bahman Rouhani, John K. Tsotsos
doaj   +1 more source

A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition

Games, 2011
This paper presents a case of parsimony and generalization in model comparisons. We submitted two versions of the same cognitive model to the Market Entry Competition (MEC), which involved four-person and two-alternative (enter or stay out) games.
Tomás Lejarraga, Cleotilde Gonzalez, Varun Dutt   +2 more
doaj   +1 more source

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction

Frontiers in Neuroanatomy, 2020
Digital reconstruction or tracing of 3D tree-like neuronal structures from optical microscopy images is essential for understanding the functionality of neurons and reveal the connectivity of neuronal networks.
Qing Huang, Qing Huang, Yijun Chen, Yijun Chen, Shijie Liu, Cheng Xu, Cheng Xu, Tingting Cao, Tingting Cao, Yongchao Xu, Xiaojun Wang, Xiaojun Wang, Gong Rao, Gong Rao, Anan Li, Anan Li, Shaoqun Zeng, Shaoqun Zeng, Tingwei Quan, Tingwei Quan   +19 more
doaj   +1 more source

Generating functions for generating trees

Discrete Mathematics, 2002
This article corresponds, up to minor typo corrections, to the article submitted to Discrete Mathematics (Elsevier) in Nov. 1999, and published in its vol. 246(1-3), March 2002, pp.
Banderier, Cyril, Flajolet, Philippe, Gardy, Danièle, Bousquet-Mélou, Mireille, Denise, Alain, Gouyou-Beauchamps, Dominique   +5 more
openaire   +6 more sources

Large Scale Landform Mapping Using Lidar DEM

ISPRS International Journal of Geo-Information, 2015
In this study, LIDAR DEM data was used to obtain a primary landform map in accordance with a well-known methodology. This primary landform map was generalized using the Focal Statistics tool (Majority), considering the minimum area condition in ...
Türkay Gökgöz, Moustafa Khalil M. Baker   +1 more
doaj   +1 more source

C2RL: Convolutional-Contrastive Learning for Reinforcement Learning Based on Self-Pretraining for Strong Augmentation

Sensors, 2023
Reinforcement learning agents that have not been seen during training must be robust in test environments. However, the generalization problem is challenging to solve in reinforcement learning using high-dimensional images as the input. The addition of a
Sanghoon Park, Jihun Kim, Han-You Jeong, Tae-Kyoung Kim, Jinwoo Yoo   +4 more
doaj   +1 more source

Transfer in Learning New Vocabulary: Memorization and Abstraction

Behavioral Sciences
An experiment was conducted to examine whether knowledge of word meanings enables learners to infer the meanings of related words, and whether such transfer is based on memory for related exemplars or for abstract knowledge. Participants completed a word
James A. Kole, Anna C. Johnson
doaj   +1 more source

SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research

Sensors, 2023
The synthetic aperture radar (SAR) image ship detection system needs to adapt to an increasingly complicated actual environment, and the requirements for the stability of the detection system continue to increase.
Wei Gao, Yunqing Liu, Yi Zeng, Quanyang Liu, Qi Li   +4 more
doaj   +1 more source

Generalization of form in visual pattern classification. [PDF]

, 1996
Human observers were trained to criterion in classifying compound Gabor signals with sym- metry relationships, and were then tested with each of 18 blob-only versions of the learning set.
Ingo Rentschler, Caelli, Terry, Erhardt Barth, Jüttner, Martin, Terry Caelli, Rentschler, Ingo, Martin Jüttner, Barth, Erhardt, Zetzsche, Christoph, Christoph Zetzsche   +9 more
core   +1 more source

Generalizing generalized tries

Journal of Functional Programming, 2000
A trie is a search tree scheme that employs the structure of search keys to organize information. Tries were originally devised as a means to represent a collection of records indexed by strings over a fixed alphabet. Based on work by C. P. Wadsworth and others, R. H. Connelly and F. L.
openaire   +3 more sources