Št. zadetkov: 63
Video in druga učna gradiva
Oznake:
computer science;semantic search;semantic web
Semantic search promises to provide more accurate result
than present-day keyword search. However, progress with semantic search
has been delayed due to the complexity of its query languages. In this paper,
we explore a novel approach of adapting keywords to querying the
semantic web: the approa ...
Leto:
2007
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
kras;prst;organski ogljik;vzorčenje prsti;Kitajska, jugozahodna;karst;prst;organic carbon;sampling protocol;China, southwestern;
Forest soil heterogeneity and soil sampling protocols on limestone outcrops
Leto:
2010
Vir:
dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning
In semi-supervised learning, at the limit of
infinite unlabeled points while fixing labeled
ones, the solutions of several graph Laplacian
regularization based algorithms were shown
by Nadler et al. (2009) to degenerate to
constant functions with "spikes" at labeled
points in Rd for d ¸ 2. These opt ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;shape from x
An optical diffuser is an element that scatters light and is
commonly used to soften or shape illumination. In this paper,
we propose a novel depth estimation method that places
a diffuser in the scene prior to image capture. We call this
approach depth-from-diffusion (DFDiff).
We show that DFDiff i ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web;owl - web ontology language
In Semantic Web, the knowledge sources usually contain inconsistency because they are constantly changing and from different view points. As is well known, as based on the description logic of the Semantic Web, OWL is lack of the ability of tolerating inconsistent or incomplete data. Recently, the r ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Co-clustering is based on the duality between data points (e.g. documents) and features (e.g. words), i.e. data points can be grouped based on their distribution on features, while features can be grouped based on their distribution on the data points. In the past decade, several co-clustering algor ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;knowledge extraction;data mining
Social networks continue to grow in size and the type of information hosted. We witness a growing interest in clustering a social network of people based on both their social relationships and
their participations in activity based information networks. In this
paper, we present a social influence ba ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;algorithmic information theory;machine learning;statistical learning
In this paper, a novel, computationally fast, and alternative algorithm for com- puting weighted v-statistics in resampling both univariate and multivariate data is proposed. To avoid any real resampling, we have linked this problem with finite group action and converted it into a problem of orbit e ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning;unsupervised learning;semi-supervised learning
By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We develop fundamental properties of the models and derive efficient Gibbs sampling inference. We show that the gamma-NB pro ...
Leto:
2012
Vir:
videolectures.net