Results 271 to 280 of about 576,901 (299)

Time series classification with their image representation

Neurocomputing
The study is concerned with the problem of classification of multivariate time series using convolutional neural networks (CNNs). As CNNs regard inputs in the form of images, an original image -like format of temporal data is proposed. Along this line, several design alternatives are studied by forming images with the two corresponding coordinates ...
Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien   +3 more
openaire   +2 more sources

Piecewise Factorization for Time Series Classification

2016
In the research field of time series analysis and mining, the nearest neighbor classifier (1NN) based on the dynamic time warping distance (DTW) is well known for its high accuracy. However, the high computational complexity of DTW can lead to the expensive time consumption of the classifier.
Qinglin Cai, Ling Chen 0001, Jianling Sun   +2 more
openaire   +1 more source

Cost Sensitive Time-Series Classification

2017
This paper investigates the problem of highly imbalanced time-series classification using shapelets, short patterns that best characterize the target time-series, which are highly discriminative. The current state-of-the-art approach learns generalized shapelets along with weights of the classification hyperplane via a classical cost-insensitive loss ...
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic   +2 more
openaire   +1 more source

Model-Based Time Series Classification

2014
We propose MTSC, a filter-and-refine framework for time series Nearest Neighbor (NN) classification. Training time series belonging to certain classes are first modeled through Hidden Markov Models (HMMs). Given an unlabeled query, and at the filter step, we identify the top K models that have most likely produced the query.
Alexios Kotsifakos, Panagiotis Papapetrou   +1 more
openaire   +1 more source

Time Series Classification with Representation Ensembles

2015
Time series has attracted much attention in recent years, with thousands of methods for diverse tasks such as classification, clustering, prediction, and anomaly detection. Among all these tasks, classification is likely the most prominent task, accounting for most of the applications and attention from the research community.
Rafael Giusti, Diego Furtado Silva, Gustavo E. A. P. A. Batista   +2 more
openaire   +1 more source

Classification of short time series

2009
Many time series are of short duration because data acquisition has, of necessity, proceeded for but a brief term. Such data have previously often been analyzed by methods that either do not explicitly take into account time related changes or that are designed for long time series.
openaire   +2 more sources

Fusion Architectures for the Classification of Time Series

2001
The classification of time series based on local features is discussed in this paper. In this context we discuss the topics data fusion, decision fusion, and temporal fusion. Three different classifier architectures for these fusion tasks are proposed.
Christian Dietrich 0002, Friedhelm Schwenker, Günther Palm   +2 more
openaire   +1 more source

Time series clustering and classification

International Journal of Approximate Reasoning
Pierpaolo D'Urso, Livia De Giovanni, Elizabeth Ann Maharaj   +2 more
openaire   +1 more source

Optimal Filtering for Time Series Classification

2015
The application of a (smoothing) filter is common practice in applications where time series are involved. The literature on time series similarity measures, however, seems to completely ignore the possibility of applying a filter first. In this paper, we investigate to what extent the benefit obtained by more complex distance measures may be achieved ...
openaire   +1 more source

End-to-end learned early classification of time series for in-season crop type mapping

ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Marc Russwurm, Rémi Emonet, Sébastien Lefèvre   +2 more
exaly