Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analysis of Driving Scenario Trajectories with Active Learning   Annotating the driving scenario trajectories based only on explicit rules
(i.e., knowledge-based methods) can be subject to errors, such as false
positive/negative classification of scenarios that lie on the border of two
scenario classes, missing unknown scenario classes, and also anomalies. On the
other side, verifying the labels by the annotators is not cost-efficient. For
this purpose, active learning (AL) could potentially improve the annotation
procedure by inclusion of an annotator/expert in an efficient way. In this
study, we develop an active learning framework to annotate driving trajectory
time-series data. At the first step, we compute an embedding of the time-series
trajectories into a latent space in order to extract the temporal nature. For
this purpose, we study three different latent space representations:
multivariate Time Series t-Distributed Stochastic Neighbor Embedding (mTSNE),
Recurrent Auto-Encoder (RAE) and Variational Recurrent Auto-Encoder (VRAE). We
then apply different active learning paradigms with different classification
models to the embedded data. In particular, we study the two classifiers Neural
Network (NN) and Support Vector Machines (SVM), with three active learning
query strategies (i.e., entropy, margin and random). In the following, we
explore the possibilities of the framework to discover unknown classes and
demonstrate how it can be used to identify the out-of-class trajectories.

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The categories of this paper are: stat
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
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The categories of this paper are: funct-an
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The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn