Št. zadetkov: 44
Izvirni znanstveni članek
Oznake:
strojno učenje;iskanje napak;preverjanje kakovosti;semiconductor manufacturing;defect detection;quality inspection;class imbalance;class overlap;multi-objective feature selection;self-paced ensemble;machine learning;
In semiconductor manufacturing, defect detection is commonly performed using high-dimensional process data. These data often exhibit class imbalance and class overlap, which create challenges for achieving reliable classification performance. To address these issues, this study proposes a multi-obje ...
Leto:
2025
Vir:
Digitalna knjižnica Univerze v Mariboru (DKUM)
Video in druga učna gradiva
Oznake:
computer science;computer vision
Discriminative appearance features are effective for recognizing actions in a fixed
view, but generalize poorly to changes in viewpoint. We present a method for viewinvariant
action recognition based on sparse representations using a transferable dictionary
pair. A transferable dictionary pair consi ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;semi-supervised learning
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labeled and unlabeled training data. Our approach is based on extending information regularization framework to boosting, beari ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;databases;information retrieval
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how to efficiently discover, collect, organize, search and disseminate real-time disaster information. In this paper, we addre ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
We introduce the problem of joint object class sequencing and trajectory triangulation (JOST), which is defined as the reconstruction of the motion path of a class of dynamic objects through a scene from an unordered set of images. We leverage standard object detection techinques to identify object ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
This paper instantly infers the gas consumption and pollution emission of vehicles traveling on a city's road network in a current time slot, using GPS trajectories from a sample of vehicles (e.g., taxicabs). The knowledge can be used to suggest cost-efficient driving routes as well as identifying r ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
In this paper, we propose a citywide and real-time model for estimating the travel time of any path (represented as a sequence of connected road segments) in real time in a city, based on the GPS trajectories of vehicles received in current time slots and over a period of history as well as map data ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web
Entity navigation over Linked Data often follows semantic
links by using Linked Data browsers. With the increasing volume of
Linked Data, the rich and diverse links make it difficult for users to
traverse the link graph and find target entities. Besides, there is a necessity
for navigation parad ...
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
This paper introduces AdaSDCA: an adaptive variant of stochastic dual coordinate ascent (SDCA) for solving the regularized empirical risk minimization problems. Our modification consists in allowing the method adaptively change the probability distribution over the dual variables throughout the iter ...
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;big data;semantic web
With the increasing volume of Linked Data, the diverse links and the large amount of linked entities make it difficult for users to traverse RDF data. As semantic links and classes of linked entities are two key aspects to help users navigate, clustering links and classes can offer effective ways of ...
Leto:
2016
Vir:
videolectures.net