563 research outputs found
Multi-modal gated recurrent units for image description
Using a natural language sentence to describe the content of an image is a
challenging but very important task. It is challenging because a description
must not only capture objects contained in the image and the relationships
among them, but also be relevant and grammatically correct. In this paper a
multi-modal embedding model based on gated recurrent units (GRU) which can
generate variable-length description for a given image. In the training step,
we apply the convolutional neural network (CNN) to extract the image feature.
Then the feature is imported into the multi-modal GRU as well as the
corresponding sentence representations. The multi-modal GRU learns the
inter-modal relations between image and sentence. And in the testing step, when
an image is imported to our multi-modal GRU model, a sentence which describes
the image content is generated. The experimental results demonstrate that our
multi-modal GRU model obtains the state-of-the-art performance on Flickr8K,
Flickr30K and MS COCO datasets.Comment: 25 pages, 7 figures, 6 tables, magazin
Quantum Logical Gates with Linear Quadripartite Cluster States of Continuous Variables
The concrete schemes to realize three types of basic quantum logical gates
using linear quadripartite cluster states of optical continuous variables are
proposed. The influences of noises and finite squeezing on the computation
precision are analyzed in terms of the fidelity of propagated quantum
information through the continuous variable cluster states. The proposed
schemes provide direct references for the design of experimental systems of
one-way quantum computer based on the cluster entanglement of amplitude and
phase quadratures of light.Comment: accepted for publication by PR
A Novel Method for Solving the Fully Fuzzy Bilevel Linear Programming Problem
We address a fully fuzzy bilevel linear programming problem in which all the coefficients and variables of both objective functions and constraints are expressed as fuzzy numbers. This paper is to develop a new method to deal with the fully fuzzy bilevel linear programming problem by applying interval programming method. To this end, we first discretize membership grade of fuzzy coefficients and fuzzy decision variables of the problem into a finite number of α-level sets. By using α-level sets of fuzzy numbers, the fully fuzzy bilevel linear programming problem is transformed into an interval bilevel linear programming problem for each α-level set. The main idea to solve the obtained interval bilevel linear programming problem is to convert the problem into two deterministic subproblems which correspond to the lower and upper bounds of the upper level objective function. Based on the Kth-best algorithm, the two subproblems can be solved sequentially. Based on a series of α-level sets, we introduce a linear piecewise trapezoidal fuzzy number to approximate the optimal value of the upper level objective function of the fully fuzzy bilevel linear programming problem. Finally, a numerical example is provided to demonstrate the feasibility of the proposed approach
Angels in the House: Female Images in Victorian Children’s Fantasy
Victorian period witnessed prosperity and popularity of children’s fantasy. Female characters abound in the adult fiction of Victorian literature. But what are they like in works written for children? This thesis attempts to analyze different women images in children’s fantasy. Some writers choose to omit women; some idealize women as the angel in the house; some portray them as powerful and aggressive. These different images of women reflect the social values of the time
Toward demonstrating controlled-X operation based on continuous variable four-partite cluster state and quantum teleporters
One-way quantum computation based on measurement and multipartite cluster
entanglement offers the ability to perform a variety of unitary operations only
through different choices of measurement bases. Here we present an experimental
study toward demonstrating the controlled-X operation, a two-mode gate, in
which continuous variable (CV) four-partite cluster states of optical modes are
utilized. Two quantum teleportation elements are used for achieving the gate
operation of the quantum state transformation from input target and control
states to output states. By means of the optical cluster state prepared
off-line, the homodyne detection and electronic feeding forward, the
information carried by the input control state is transformed to the output
target state. The presented scheme of the controlled-X operation based on
teleportation can be implemented nonlocally and deterministically. The
distortion of the quantum information resulting from the imperfect cluster
entanglement is estimated with the fidelity
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