Št. zadetkov: 52
Kaixuan Zhang,
Yugi He,
Xiang Lu,
Yaliang Shi,
Hui Zhao,
Xiaobo Li,
Jinlong Li,
Yang Liu,
Yinan Ouyang,
Yu Tang,
Zlata Luthar,
Mateja Germ,
Ivan Kreft,
Vladimir Meglič,
Barbara Pipan
Izvirni znanstveni članek
Oznake:
genomics;genomic resources;genome sequencing;common buckwheat;genomics-assisted breeding;flavonoid content;flower morphology;buckwheat species;genetic gain;agronomic traits;nutritional quality traits;
Leto:
2023
Vir:
Kmetijski inštitut Slovenije (KIS)
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
The pervasive use of social media generates massive data in an unprecedented rate and the information overload problem becomes increasingly severe for social media users. Recommendation has been proven to be effective in mitigating the information overload problem, demonstrated its strength in impro ...
Leto:
2014
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
synchronization;dynamic characteristic;synchronous conditions;stability criterion;springs;
With the rapid development of horizontal drilling technology, the drilling fluid shale shaker (DFSS) features high capacity and high efficiency. Hence, a vibrating mechanism of a three co-rotating rotor system coupled with springs is proposed for designing large-sized and heavy-duty vibrating screen ...
Leto:
2021
Vir:
Fakulteta za strojništvo (UL FS)
Video in druga učna gradiva
Oznake:
computer science;computer vision
We consider the problem of detection and tracking of multiple people in crowded
street scenes. State-of-the-art methods perform well in scenes with relatively few people,
but are severely challenged by scenes with many subjects that partially occlude each
other. This limitation is due to the fact th ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis;social networks
In online social networks, most relationships are lack of meaning labels (e.g., "colleague"
and "intimate friends"), simply because users do not take the time to label them. An
interesting question is: can we automatically infer the type of social relationships in a large
network? what are the funda ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis;social networks
Recently the problem of mining social influence has attracted lots of attention. Given a social network, researchers are interested in problems such as how influence, ideas, information propagate in the network. Similar problems have been proposed on co-authorship networks where the goal is to diffe ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web;annotation
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering;semi-supervised learning
Semi-supervised clustering employs limited supervision in the form of labeled instances or pairwise instance constraints to aid unsupervised clustering and often significantly improves the clustering performance. Despite the vast amount of expert knowledge spent on this problem, most existing work i ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;network analysis;social networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the friends have strong influence on one's daily life. How to differentiate the social influences from different angles(topics)? How ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
mathematics;statistics;computer science;machine learning
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-visible changes such as modifications to a user interface, but also more subtle changes such as different machine learnin ...
Leto:
2010
Vir:
videolectures.net