robench-2024b
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48 items • Updated
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**A**: In Section VI, we present numerical examples to demonstrate the performance of
the proposed method**B**: The application of C2-WORDsuperscriptC2-WORD\textrm{C}^{2}\textrm{-WORD}C start_POSTSUPERSCRIPT 2 end_POSTSUPERSCRIPT -WORD to pattern synthesis is presented in Section V**C**: Conclusions are drawn in Secti... | BAC | BCA | BCA | ABC | Selection 1 |
**A**: Higher altitude indicates larger coverage size as shown in Fig. 1 (c)**B**:
In order to support as many users as possible, UAVs are required to enlarge coverage size, which is equal to enlarge the coverage proportion in the mission area**C**: The utility of coverage size is denoted as | CBA | BAC | BCA | CBA | Selection 2 |
**A**: Guo et al. (2018) provided a review of deep learning based semantic segmentation of images, and divided the literature into three categories: region-based, fully convolutional network (FCN)-based, and weakly supervised segmentation methods. Hu et al. (2018b) summarized the most commonly used RGB-D datasets for s... | ACB | ACB | ABC | CBA | Selection 3 |
**A**: (a) The t-UAV subarray partition pattern**B**:
Figure 6: The subarray patterns on the cylinder and the corresponding expanded cylinder**C**: (b) The r-UAV subarray partition pattern with conflict. (c) The r-UAV subarray partition pattern without conflict. (d) The t-UAV subarray partition pattern with beamwidth ... | ACB | CAB | BAC | ABC | Selection 3 |
**A**:
Motivated by distributed statistical learning over uncertain communication networks, we study the distributed stochastic convex optimization by networked local optimizers to cooperatively minimize a sum of local convex cost functions. The network is modeled by a sequence of time-varying random digraphs which ma... | ACB | ABC | BAC | BCA | Selection 1 |
**A**: This control framework requires tuning of multiple parameters associated with an extensive number of iterations. We propose a sample-efficient joint tuning algorithm, where the performance metrics associated with the full geometry traversal are modelled as Gaussian processes, and used to form the cost and the co... | CBA | BAC | BCA | BCA | Selection 1 |
**A**: To the best of our knowledge, CPP is the first method that enjoys linear convergence under such a general setting.**B**:
We propose CPP – a novel decentralized optimization method with communication compression**C**: The method works under a general class of compression operators and is shown to achieve linear ... | BCA | CAB | CBA | BAC | Selection 2 |
**A**: Notation—“M1”: vocal melody, “M2”: instrumental melody, “A”: accompaniment.**B**: Each row represents the percentage of notes in an actual class while each column represents a predicted class**C**:
Figure 3: Confusion tables (in %) for two models for three-class melody classification, calculated on the test spl... | BAC | CAB | CBA | ACB | Selection 3 |
**A**: However, such a text-based semantic communication system only measures the performance at the word level instead of the sentence level. Thus, a further investigation about semantic communications for text transmission, named DeepSC, has been carried out in[12] to deal with the semantic error at the sentence leve... | ACB | ACB | CBA | BCA | Selection 3 |
**A**: Images classified as tumor by a pathologist are labelled as 1 while normal tissue images are labelled 0**B**: In total in this dataset there are 220,177 images of 50 x 50 pixels in three colors**C**: The ratio between the two classes is 70 % normal and 30 % tumor for this dataset (Figure 2).
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**A**: See Supplementary Notes 9 and 10 for details.
**B**: We evaluated the neural étendue expanders using a prototype holographic display**C**: The prototype consists of a HOLOEYE-PLUTO SLM, a 4F system, a DC block, and a camera for imaging the étendue expanded holograms | CBA | ACB | CBA | CAB | Selection 4 |
**A**: Motivated by the dense connection mechanism, Tong et al. (Tong
et al., 2017) proposed an SRDenseNet**B**: SRDenseNet uses not only the layer-level dense connections but also the block-level ones, where the output of each dense block is connected by dense connections**C**: In this way, the low-level features and ... | ABC | BAC | CAB | BCA | Selection 1 |
**A**: Last, while the presence of dark blue traces in Fig. 1(d) indicate components of the spectrogram which favour the negative class, the overall dominance of red colours (though not all dark red) indicate a greater support for the positive class (the classifier output correctly indicates bona fide speech).
Plots of... | CAB | ABC | CBA | BAC | Selection 3 |
**A**:
CBFs that account for uncertainties in the system dynamics have been considered in two ways. The authors in [10] and [11] consider input-to-state safety to quantify possible safety violation**B**: CBFs that account for state estimation uncertainties were proposed in [15] and [16]. Relying on the same notion of ... | CAB | BAC | ACB | BCA | Selection 3 |
**A**: Hybrid beamforming can adopt dual polarization and the associated codebook design to improve the system performance [7, 25]. Although polarization multiplexing without spatial diversity is promising [18], polarization diversity can be combined with spatial diversity to further improve the performance of wireless... | CBA | ACB | ACB | CAB | Selection 4 |
**A**: The objective is to define a compliance measure that quantifies the recovery capabilities of a given regularizer R𝑅Ritalic_R given a model set ΣΣ\Sigmaroman_Σ.**B**:
To define a notion of optimal regularizer, we simply propose to say that an optimal regularizer is a function that optimizes a (hopefully well-ch... | CAB | BAC | ABC | ACB | Selection 1 |
**A**: We propose Sample Choice Policy (SCP) for few-shot medical landmark detection task, a novel framework for screening out the representative instances to reduce labor on annotation and achieve high performance simultaneously. SCP learns to map the consistent anatomical information into feature spaces by solving a ... | BCA | CAB | CAB | ABC | Selection 4 |
**A**: Mok and Chung (Mok and Chung, 2022b) proposed a 3-step registration method, which comprises an affine pre-alignment, a convolutional neural network with forward-backward consistency constraint, and a nonlinear instance optimization. First, possible linear misalignments caused by the tumour mass effect were elimi... | ACB | CAB | BAC | ABC | Selection 1 |
**A**: This implies that AL(τ)x0=0𝐴𝐿𝜏subscript𝑥00AL(\tau)x_{0}=0italic_A italic_L ( italic_τ ) italic_x start_POSTSUBSCRIPT 0 end_POSTSUBSCRIPT = 0
for some x0∈ℝ2∖{0}subscript𝑥0superscriptℝ20x_{0}\in\mathbb{R}^{2}\setminus\{0\}italic_x start_POSTSUBSCRIPT 0 end_POSTSUBSCRIPT ∈ blackboard_R start_POSTSUPERSCRIPT... | BAC | CBA | ABC | ABC | Selection 1 |
**A**:
Input-to-state safety (ISSf) [4, 5, 6]: Here the objective is to ensure that the system state trajectories stay away from a predefined unsafe region, or in other words, stay close to safe region**B**: On the other hand, trajectories starting in the unsafe region will be brought close of the safety boundary wher... | ACB | BAC | BCA | BAC | Selection 1 |
**A**: In the following section, we develop our spectrum allocation model and setting, discuss related work, and give a high-level overview of our approach. In §III, we develop our CNN-based deep learning model and associated techniques for spectrum allocation. We discuss our simulation results in §IV, and end with con... | BCA | ACB | CAB | BAC | Selection 3 |
**A**: The regret bounds summarized in Table 1 are consistent with regret bounds of full-gradient based online optimization algorithms proved in the existing literature [29, 11, 7, 23] under similar settings**B**: This setup is also adopted in some existing works including [40, 8] to achieve less conservative regret bo... | ABC | ACB | BAC | BAC | Selection 2 |
**A**: VGG Net Simonyan and Zisserman (2015) further improved upon AlexNet by introducing deeper models with 16 or 19 weight layers, known as VGG16 and VGG19, respectively. However, increasing the depth of CNNs can lead to overfitting Goodfellow et al. (2016). To address this, Inception Net Szegedy et al**B**: (2017) p... | BCA | CAB | CAB | CAB | Selection 1 |
**A**:
The libraries recommended for further processing of the WEMAC dataset are the ones we found most useful for data cleaning and filtering for physiological and speech signals**B**: On the one hand, Matlab® was employed for the physiological data processing using the TEAP toolbox 888https://github.com/Gijom/TEAP**... | ABC | BCA | BCA | ACB | Selection 1 |
**A**: Retina images, positive and negative to AMD, from multiple databases having a range of image qualities and lesions were used**B**:
This work has introduced an alternative approach for generating synthetic images for training deep networks and tested it for AMD identification, which consists in using a retinal i... | CBA | BCA | BAC | BCA | Selection 3 |
**A**:
Once fixed feasible control inputs at the vertices of the invariant set have been computed, a variable structure controller either takes a convex combination of those values by exploiting the vertex reconstruction of any state belonging to such a set, or coincides with a purely linear gain stemming from a trian... | ACB | BCA | BCA | CBA | Selection 1 |
**A**: [26] discussed privacy-preserving FL with Secure Aggregation [13] and Differential Privacy [1] for 2D medical image classification tasks**B**: While PPIR focuses on the privacy-preserving formulation of classical image registration methods based on gradient-based optimization, throughout the past years the resea... | CAB | BAC | ABC | CAB | Selection 2 |
**A**: Related Work. Our work follows the previous studies of POMDPs. In general, solving a POMDP is intractable from both the computational and the statistical perspectives (Papadimitriou and Tsitsiklis, 1987; Vlassis et al., 2012; Azizzadenesheli et al., 2016; Guo et al., 2016; Jin et al., 2020a). Given such computat... | ACB | ABC | ABC | BCA | Selection 1 |
**A**: This part of the system, as mentioned
above, is fast in comparison to the first part**B**: δl,δm,δnsubscript𝛿𝑙subscript𝛿𝑚subscript𝛿𝑛\delta_{l},\delta_{m},\delta_{n}italic_δ start_POSTSUBSCRIPT italic_l end_POSTSUBSCRIPT , italic_δ start_POSTSUBSCRIPT italic_m end_POSTSUBSCRIPT , italic_δ start_POSTSUBSCRIP... | CBA | BCA | ABC | BAC | Selection 4 |
**A**: Whereafter, Corollary 2 gives more intuitive convergence conditions for the case with Markovian switching graphs and regression matrices. Finally, Theorem 3 establishes an upper bound for the regret of the algorithm by Lemma 3, and Theorem 4 gives a non-asymptotic rate for the algorithm. The proofs of theorems, ... | BCA | BCA | BCA | CBA | Selection 4 |
**A**: Middle column: Reconstructions using SDGLR for regularization. Right column: Reconstructions using SDGGLR for regularization.**B**:
Figure 10: Image patch denoising and interpolation results (PSNR) using SDGLR versus SDGGLR**C**: Left column: Corrupted images | CAB | BAC | ACB | BCA | Selection 1 |
**A**: For all images the signal intensity (SI) and absolute difference are represented in arbitrary units. The evaluation metrics on the test-set of 3300 images from MRiLab can be seen in Table 1.**B**:
Figures 4 and 4 show examples of axial slices from our testset MRiLab for both models**C**: The figures show the in... | BCA | BAC | CAB | ABC | Selection 3 |
**A**: This approach uses a dual-interleaved counter to ensure uninterrupted photon counting during each bit, avoiding the dead time compared to the one sequential counter [45]**B**: Additionally, utilizing an asynchronous detection mechanism for the counters eliminates the need for a high-frequency sampling clock, sim... | ABC | CAB | ABC | BCA | Selection 4 |
**A**: Once again, the selection of scenarios is intended to underscore the proposal’s robustness under unfavorable conditions, while also incorporating conservative assumptions**B**: These scenarios serve to demonstrate that, from a GN&C perspective, an autonomous robotic spacecraft does not necessarily require extens... | BAC | CBA | BCA | ABC | Selection 4 |
**A**: Further, when the UAVs are operating over bodies of water, such as lakes, the strength of the reflected path is stronger than when operating over land.**B**:
It has been observed experimentally that when the UAVs operate in an open field with a floor that is flat enough, the propagation channel follows a two-ra... | CBA | BCA | CAB | CBA | Selection 3 |
**A**: The first is adopted from [Lanzon and Bhowmick, 2023], which provides a class of negative imaginary systems characterised by an LTI auxiliary system and a dynamic supply rate**B**: The example is paraphrased in terms of Definition 2.
**C**: Several motivating examples are provided in this subsection | ABC | BCA | BAC | CBA | Selection 2 |
**A**: The RCBF has a form that is easy to imagine as a barrier, while the ZCBF is defined outside the safe set, allowing the design of control laws with robustness.**B**:
In the context of a CBF, the control objective is to make a specific subset, which is said to be a safe set, on the state space invariance forward ... | ABC | CAB | ABC | CBA | Selection 2 |
**A**: Combining the power grid strength quantified by gSCR in this section and the analysis of the voltage source behaviors of GFM converters in Section II, it is once again emphasized that it is necessary to install GFM converters to provide effective voltage source behaviors and thus enhance the power grid strength,... | BCA | ACB | ABC | CAB | Selection 3 |
**A**: To further confirm the efficiency of the proposed GSAU, we compare it with some other FFNs**B**: In Tab. 5, we validate four advanced designs: MLP, Simple Gate, CFF, and our GSAU. The GSAU delivers comparable performance to the powerful CFF while occupying 73% of the parameters and calculations, showing effectiv... | ABC | BCA | BAC | BAC | Selection 2 |
**A**:
There are a number of exciting future directions here**B**: First, we do not provide formal safety guarantees on the obtained BRTs**C**: We would like to explore recent work on providing safety assurances for DeepReach [25] to overcome this limitation. Addressing parameter uncertainty and non-parameterizable en... | BAC | ACB | CBA | ABC | Selection 4 |
**A**: After highlighting several advantages of the directive RIS architecture, we shall discuss its disadvantages as compared to the reflective RIS configuration**B**: Switching matrices are used in several applications such as satellite communications [37]. As the frequency and the number of ports increase, however, ... | BCA | BCA | ACB | CAB | Selection 3 |
**A**: The conversation-type task focuses on understanding the intent, language, and sentiment to provide humans with free-flow conversations**B**:
The speech recognition task can be further divided into conversation-type tasks (e.g., human inquiry) and command-type tasks (e.g., smart home control) depending on the sp... | ABC | CAB | BAC | CAB | Selection 3 |
**A**: We formulate this sensor placement problem as a bilevel optimization with an upper level that minimizes the number of sensors and chooses sensor alarm thresholds and a lower level that computes the most extreme voltage magnitudes within given ranges of power injection variability**B**:
In this paper, we conside... | BAC | BCA | ABC | BCA | Selection 1 |
**A**: When a node is far from speech sources, the signal-to-noise ratio (SNR) of the signal collected by the node is low**B**:
Ad-hoc microphone arrays are distributed throughout a large acoustic scene**C**: Our preliminary studies show that (i) SNR strongly affects the accuracy of the DOA estimation at the node, and... | BAC | ABC | CBA | ACB | Selection 1 |
**A**: To confirm the CNN’s reduction in performance near obstacles, we moved the robot’s starting position away from the chairs for the simulation in fig**B**: 7(b)**C**: The CNN could then see a less occluded image (Fig. 8 right) and predicted a better waypoint to eventually reach the goal (Fig. 8 left).
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**A**: We find that the stateless-decoder models consistently outperform LSTM-decoder models both in terms of accuracy and speed**B**: We actually have done extensive experiments with RNN-Ts with standard LSTM-decoders as well and all our conclusions about the multi-blank methods still hold.
**C**: We evaluate our meth... | BAC | CAB | BAC | BCA | Selection 4 |
**A**: The detection models achieve the best performance on seen test but obtain the worst results on unseen test set at -5dB**B**: However, it is hard to distinguish the real one from the fake at -5dB when a mismatch exists between the unseen test set and the training set.
**C**: When the data distribution of the seen... | ABC | ABC | ACB | BAC | Selection 3 |
**A**: The identification of time varying linear systems (TV-ERA and TV-OKID) also builds on the earlier work on time-varying discrete time system identification [5, 12]. The OKID and TV-OKID explain the usage of an ARMA model to be equivalent to an observer in the loop system, and postulate that the identified observe... | CAB | ACB | BAC | ABC | Selection 1 |
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