1,617 research outputs found
Visual Servoing from Deep Neural Networks
We present a deep neural network-based method to perform high-precision,
robust and real-time 6 DOF visual servoing. The paper describes how to create a
dataset simulating various perturbations (occlusions and lighting conditions)
from a single real-world image of the scene. A convolutional neural network is
fine-tuned using this dataset to estimate the relative pose between two images
of the same scene. The output of the network is then employed in a visual
servoing control scheme. The method converges robustly even in difficult
real-world settings with strong lighting variations and occlusions.A
positioning error of less than one millimeter is obtained in experiments with a
6 DOF robot.Comment: fixed authors lis
An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection
Recent work has proposed the use of a composite hypothesis Hoeffding test for
statistical anomaly detection. Setting an appropriate threshold for the test
given a desired false alarm probability involves approximating the false alarm
probability. To that end, a large deviations asymptotic is typically used
which, however, often results in an inaccurate setting of the threshold,
especially for relatively small sample sizes. This, in turn, results in an
anomaly detection test that does not control well for false alarms. In this
paper, we develop a tighter approximation using the Central Limit Theorem (CLT)
under Markovian assumptions. We apply our result to a network anomaly detection
application and demonstrate its advantages over earlier work.Comment: 6 pages, 6 figures; final version for CDC 201
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
Real-world relations among entities can often be observed and determined by
different perspectives/views. For example, the decision made by a user on
whether to adopt an item relies on multiple aspects such as the contextual
information of the decision, the item's attributes, the user's profile and the
reviews given by other users. Different views may exhibit multi-way
interactions among entities and provide complementary information. In this
paper, we introduce a multi-tensor-based approach that can preserve the
underlying structure of multi-view data in a generic predictive model.
Specifically, we propose structural factorization machines (SFMs) that learn
the common latent spaces shared by multi-view tensors and automatically adjust
the importance of each view in the predictive model. Furthermore, the
complexity of SFMs is linear in the number of parameters, which make SFMs
suitable to large-scale problems. Extensive experiments on real-world datasets
demonstrate that the proposed SFMs outperform several state-of-the-art methods
in terms of prediction accuracy and computational cost.Comment: 10 page
On the Existence of Spacetime Structure
I examine the debate between substantivalists and relationalists about the
ontological character of spacetime and conclude it is not well posed. I argue
that the so-called Hole Argument does not bear on the debate, because it
provides no clear criterion to distinguish the positions. I propose two such
precise criteria and construct separate arguments based on each to yield
contrary conclusions, one supportive of something like relationalism and the
other of something like substantivalism. The lesson is that one must fix an
investigative context in order to make such criteria precise, but different
investigative contexts yield inconsistent results. I examine questions of
existence about spacetime structures other than the spacetime manifold itself
to argue that it is more fruitful to focus on pragmatic issues of physicality,
a notion that lends itself to several different explications, all of
philosophical interest, none privileged a priori over any of the others. I
conclude by suggesting an extension of the lessons of my arguments to the
broader debate between realists and instrumentalists.Comment: 42 pages, 2 figures, forthcoming (2015) in British Journal for
Philosophy of Scienc
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