4,694 research outputs found
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
Depthwise convolution and grouped convolution has been successfully applied
to improve the efficiency of convolutional neural network (CNN). We suggest
that these models can be considered as special cases of a generalized
convolution operation, named channel local convolution(CLC), where an output
channel is computed using a subset of the input channels. This definition
entails computation dependency relations between input and output channels,
which can be represented by a channel dependency graph(CDG). By modifying the
CDG of grouped convolution, a new CLC kernel named interlaced grouped
convolution (IGC) is created. Stacking IGC and GC kernels results in a
convolution block (named CLC Block) for approximating regular convolution. By
resorting to the CDG as an analysis tool, we derive the rule for setting the
meta-parameters of IGC and GC and the framework for minimizing the
computational cost. A new CNN model named clcNet is then constructed using CLC
blocks, which shows significantly higher computational efficiency and fewer
parameters compared to state-of-the-art networks, when being tested using the
ImageNet-1K dataset. Source code is available at
https://github.com/dqzhang17/clcnet.torch
Simple non-Abelian extensions of the standard model gauge group and the diboson excesses at the LHC
The ATLAS collaboration reported excesses at around 2 TeV in the di-boson
production decaying into hadronic final states. We consider the possibility of
explaining the excesses with extra gauge bosons in two simple non-Abelian
extensions of the Standard Model. One is the so-called models with a
symmetry structure of and the other is
the models with an extended symmetry of . The and bosons emerge after the electroweak symmetry is
spontaneously broken. Two patterns of symmetry breaking in the models
are considered in this work: one is , the other is . The symmetry breaking of the model is
. We perform a global
analysis of and phenomenology in ten new physics models,
including all the channels of decay. Our study shows that
the leptonic mode and the dijet mode of decays impose a
very stringent bound on the parameter space in several new physics models. Such
tight bounds provide a useful guide for building new physics models to address
on the diboson anomalies. We also note that the Left-Right and Lepton-Phobic
models can explain the excess if the deviation in
the pair around 2~TeV were confirmed to be a fluctuation of the SM
backgrounds.Comment: Publish version; title changed as suggested by journal Edito
Resolving the Degeneracy in Single Higgs Production with Higgs Pair Production
The Higgs boson production can be affected by several anomalous couplings,
e.g. and anomalous couplings. Precise measurement of
production yields two degenerate parameter spaces of and ; one
parameter space exhibits the SM limit while the other does not. Such a
degeneracy could be resolved by Higgs boson pair production. In this work we
adapt the strategy suggested by the ATLAS collaboration to explore the
potential of distinguishing the degeneracy at the 14 TeV LHC. If the
anomalous coupling is induced only by the operator , then the non-SM-like band could be excluded with an integrated luminosity
of . Making use of the fact that the Higgs boson pair
is mainly produced through an -wave scattering, we propose an analytical
function to describe the fraction of signal events surviving a series of
experimental cuts for a given invariant mass of Higgs boson pair. The function
is model independent and can be applied to estimate the discovery potential of
various NP models
Context-Aware Single-Shot Detector
SSD is one of the state-of-the-art object detection algorithms, and it
combines high detection accuracy with real-time speed. However, it is widely
recognized that SSD is less accurate in detecting small objects compared to
large objects, because it ignores the context from outside the proposal boxes.
In this paper, we present CSSD--a shorthand for context-aware single-shot
multibox object detector. CSSD is built on top of SSD, with additional layers
modeling multi-scale contexts. We describe two variants of CSSD, which differ
in their context layers, using dilated convolution layers (DiCSSD) and
deconvolution layers (DeCSSD) respectively. The experimental results show that
the multi-scale context modeling significantly improves the detection accuracy.
In addition, we study the relationship between effective receptive fields
(ERFs) and the theoretical receptive fields (TRFs), particularly on a VGGNet.
The empirical results further strengthen our conclusion that SSD coupled with
context layers achieves better detection results especially for small objects
( on MS-COCO compared to the newest SSD), while
maintaining comparable runtime performance
Overexpression of an isoform of AML1 in acute leukemia and its potential role in leukemogenesis
AML1/RUNX1 is a critical transcription factor in hematopoietic cell differentiation and proliferation. From the _AML1_ gene, at least three isoforms, _AML1a_, _AML1b_ and _AML1c_, are produced through alternative splicing. AML1a interferes with the function of AML1b/1c, which are often called AML1. In the current study, we found a higher expression level of _AML1a_ in ALL patients in comparison to the controls. Additionally, AML1a represses transcription from promotor of macrophage-colony simulating factor receptor (M-CSFR) mediated by AML1b, indicating that AML1a antagonized the effect of AML1b. In order to investigate the role of _AML1a_ in hematopoiesis and leukemogenesis _in vivo_, bone marrow mononuclear cells (BMMNCs) from mice were transduced with AML1a and transplanted into lethally irradiated mice, which develop lymphoblastic leukemia after transplantation. Taken together, these results indicate that overexpression of AML1a may be an important contributing factor to leukemogenesis
Rapid analysis of the bioactive components in Saxifraga stolonifera, an edible and medicinal herb with anti-tumor effects, by HPLC-DAD, ESI/MSn
Saxifraga stolonifera is an edible and herbaceous plant, which has been demonstrated to have anti-tumor effects in vivo and in vitro. The aim of this paper is to determine the main bioactive components inS. stolonifera, and their distribution in different parts of S. stolonifera and in S. stolonifera that was cultivated in different places in China using a high-performance liquid chromatography-diode array detector and electrospray ionization/ion trap mass spectrometry (HPLC-DAD-ESI/MSn). Four main components were identified and three were quantified. The contents of gallic acid, protocatechuic acid and bergenin had significant differences not only between the roots and stems-leaves of the plant, but also among different cultivated varieties of S. stolonifera. The experiment showed that the method used here exhibited good repeatability and recovery. Therefore, the results provide reliable data for research and development in the future on the level and distribution of the three bioactive components of S. stolonifera
Continuous variable entanglement measurement without phase locking
A new simple entanglement measurement method is proposed for the bright EPR
beams generated from a non-degenerate optical parametric amplifier operating at
deamplification. Due to the output signal and idler modes are frequency
degenerate and in phase, the needed phase shift of interference for the
measurement of the correlated phase quadratures and anti-correlated amplitude
quadratures can be accomplished by a quarter-wave plate and a half wave plate
without separating the signal and idler beam. Therefore, phase locking and
local oscillators are avoided.Comment: 8 pages,3 figure
Dark Energy and Fate of the Universe
We explore the ultimate fate of the Universe by using a divergence-free
parametrization for dark energy .
Unlike the CPL parametrization, this parametrization has well behaved, bounded
behavior for both high redshifts and negative redshifts, and thus can genuinely
cover many theoretical dark energy models. After constraining the parameter
space of this parametrization by using the current cosmological observations,
we find that, at the 95.4% confidence level, our Universe can still exist at
least 16.7 Gyr before it ends in a big rip. Moreover, for the phantom energy
dominated Universe, we find that a gravitationally bound system will be
destroyed at a time , where
is the period of a circular orbit around this system, before the big rip.Comment: 5 pages, 3 figures; typos corrected, publication version, Sci
China-Phys Mech Astron, doi: 10.1007/s11433-012-4748-
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