8,000 research outputs found
Solar: solution path averaging for fast and accurate variable selection in high-dimensional data
We propose a new variable selection algorithm, subsample-ordered least-angle
regression (solar), and its coordinate descent generalization, solar-cd. Solar
re-constructs lasso paths using the norm and averages the resulting
solution paths across subsamples. Path averaging retains the ranking
information of the informative variables while averaging out sensitivity to
high dimensionality, improving variable selection stability, efficiency, and
accuracy. We prove that: (i) with a high probability, path averaging perfectly
separates informative variables from redundant variables on the average
path; (ii) solar variable selection is consistent and accurate; and (iii) the
probability that solar omits weak signals is controllable for finite sample
size. We also demonstrate that: (i) solar yields, with less than of the
lasso computation load, substantial improvements over lasso in terms of the
sparsity (64-84\% reduction in redundant variable selection) and accuracy of
variable selection; (ii) compared with the lasso safe/strong rule and variable
screening, solar largely avoids selection of redundant variables and rejection
of informative variables in the presence of complicated dependence structures;
(iii) the sparsity and stability of solar conserves residual degrees of freedom
for data-splitting hypothesis testing, improving the accuracy of post-selection
inference on weak signals with limited ; (iv) replacing lasso with solar in
bootstrap selection (e.g., bolasso or stability selection) produces a
multi-layer variable ranking scheme that improves selection sparsity and
ranking accuracy with the computation load of only one lasso realization; and
(v) given the computation resources, solar bootstrap selection is substantially
faster (98\% lower computation time) than the theoretical maximum speedup for
parallelized bootstrap lasso (confirmed by Amdahl's law)
Chiral Condensates in Quark and nuclear Matter
We present a novel treatment for calculating the in-medium quark condensates.
The advantage of this approach is that one does not need to make further
assumptions on the derivatives of model parameters with respect to the quark
current mass. The normally accepted model-independent result in nuclear matter
is naturally reproduced. The change of the quark condensate induced by
interactions depends on the incompressibility of nuclear matter. When it is
greater than 260 MeV, the density at which the condensate vanishes is higher
than that from the linear extrapolation. For the chiral condensate in quark
matter, a similar model-independent linear behavior is found at lower
densities, which means that the decreasing speed of the condensate in quark
matter is merely half of that in nuclear matter if the pion-nucleon sigma
commutator is six times the average current mass of u and d quarks. The
modification due to QCD-like interactions is found to slow the decreasing speed
of the condensate, compared with the linear extrapolation.Comment: 12 pages, 7 figures, revtex4 styl
Theoretical Triple-Differential Cross Sections of a Methane Molecule By a Proper-Average Method
For the last few years, our group has calculated cross sections for electron-impact ionization of molecules using the molecular three-body distorted-wave approximation coupled with the orientation-averaged molecular orbital (OAMO) approximation. This approximation was very successful for calculating ionization cross sections for hydrogen molecules and to a lesser extent nitrogen molecules. Recently we used the approximation to calculate single ionization cross sections for the 1t2 state of methane (CH4) and we found major discrepancies with the experimental data. Here we investigate the validity of the OAMO approximation by calculating cross sections that have been properly averaged over all molecular orientations. These calculations with proper averages are in much better agreement with experiment than the OAMO calculations
A top-down approach to articulated human pose estimation and tracking
© 2019, Springer Nature Switzerland AG. Both the tasks of multi-person human pose estimation and pose tracking in videos are quite challenging. Existing methods can be categorized into two groups: top-down and bottom-up approaches. In this paper, following the top-down approach, we aim to build a strong baseline system with three modules: human candidate detector, single-person pose estimator and human pose tracker. Firstly, we choose a generic object detector among state-of-the-art methods to detect human candidates. Then, cascaded pyramid network is used to estimate the corresponding human pose. Finally, we use a flow-based pose tracker to render keypoint-association across frames, i.e., assigning each human candidate a unique and temporally-consistent id, for the multi-target pose tracking purpose. We conduct extensive ablative experiments to validate various choices of models and configurations. We take part in two ECCV’18 PoseTrack challenges (https://posetrack.net/workshops/eccv2018/posetrack_eccv_2018_results.html ): pose estimation and pose tracking
^{59}Co NMR evidence for charge ordering below T_{CO}\sim 51 K in Na_{0.5}CoO_2
The CoO layers in sodium-cobaltates NaCoO may be viewed as
a spin triangular-lattice doped with charge carriers. The underlying
physics of the cobaltates is very similar to that of the high cuprates.
We will present unequivocal Co NMR evidence that below ,
the insulating ground state of the itinerant antiferromagnet
NaCoO () is induced by charge ordering.Comment: Phys. Rev. Lett. 100 (2008), in press. 4 figure
In-medium Properties of as a KN structure in Relativistic Mean Field Theory
The properties of nuclear matter are discussed with the relativistic
mean-field theory (RMF).Then, we use two models in studying the in-medium
properties of : one is the point-like in the usual RMF and
the other is a KN structure for the pentaquark. It is found that the
in-medium properties of are dramatically modified by its internal
structure. The effective mass of in medium is, at normal nuclear
density, about 1030 MeV in the point-like model, while it is about 1120 MeV in
the model of KN pentaquark. The nuclear potential depth of in
the KN model is approximately -37.5 MeV, much shallower than -90 MeV in
the usual point-like RMF model.Comment: 8 pages, 5 figure
Possible superconductivity above 25 K in single crystalline Co-doped BaFeAs
We present superconducting properties of single crystalline
Ba(FeCo)As by measuring magnetization, resistivity,
upper critical field, Hall coefficient, and magneto-optical images. The
magnetization measurements reveal fish-tail hysteresis loop at high
temperatures and relatively high critical current density above
A/cm at low temperatures. Upper critical field determined by resistive
transition is anisotropic with anisotropic parameter 3.5. Hall effect
measurements indicate that Ba(FeCo)As is a
multiband system and the mobility of electron is dominant. The magneto-optical
imaging reveals prominent Bean-like penetration of vortices although there is a
slight inhomogeneity in a sample. Moreover, we find a distinct
superconductivity above 25 K, which leads us to speculate that higher
transition temperature can be realized by fine tuning Co-doping level.Comment: 4 pages, 5 figure
The hyperon mean free paths in the relativistic mean field
The - and -hyperon mean free paths in nuclei are firstly
calculated in the relativistic mean field (RMF) theory. The real parts of the
optical potential are derived from the RMF approach, while the imaginary parts
are obtained from those of nucleons with the relations:
and . With the
assumption, the depth of the imaginary potential for is
3.5 MeV, and for is 7 MeV at
low incident energy. We find that, the hyperon mean free path decreases with
the increase of the hyperon incident energies, from 200 MeV to 800 MeV; and in
the interior of the nuclei, the mean free path is about fm for
, and about fm for , depending on the hyperon
incident energy.Comment: 5 figures, 6 page
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