This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class $s_p$ and minimize between-class $s_n$. We find majority of loss functions, including triplet softmax cross-entropy loss, embed $s_n$ into pairs seek reduce $(s_n-s_p)$. Such an manner is inflexible, because penalty strength every single score restricted be equal. Our intuition that if deviates far from optimum, it should emphasized. To this end, we simply re-weight each...

Nonlinear dynamics is frequently encountered in practical applications. Adaptive dynamic programming (ADP), which implemented via actor/critic neural networks with excellent approximation capabilities, appropriate to be used finding the solution for control problem presence of known/unknown nonlinear dynamics. The objective this paper introduce state-of-the-art ADP-based algorithms and survey recent advances strategies systems various engineering-oriented complexities. Firstly, main...

Along with the advent and popularity of cloud computing, Internet Things, bring your own device, trust requirement for terminal devices has increased significantly. An untrusted terminal, a that runs in an untrustworthy execution environment, may cause serious security issues enterprise networks. With release Software Guard Extension, Intel provided promising way to construct trusted terminals services. Utilizing this technology, we propose security-enhanced attestation remote terminals,...

We investigate nonlocal advantage of quantum coherence (NAQC) in a correlated dephasing channel modeled by the multimode bosonic reservoir. obtain analytically and memory factors this for reservoir having Lorentzian spectral density, analyze how they affect NAQC defined l 1 norm relative entropy. It is shown that effects on are state-dependent, suppress noticeably rapid decay family input Bell-like states with one excitation. For given transmission time each qubit, we also regions during...

This paper introduces a new fundamental characteristic, i.e., the dynamic range, from real-world metric tools to deep visual recognition. In metrology, range is basic quality of tool, indicating its flexibility accommodate various scales. Larger offers higher flexibility. recognition, multiple scale problem also exist. Different concepts may have different semantic For example, "Animal" and "Plants" large while "Elk" has much smaller one. Under small scale, two elks look quite each other ....

Smart contracts are commonly used to build finance-related decentralized applications. If a smart contract vulnerability is exploited by an attacker, the owner may suffer financial losses. We focus on particular class of vulnerabilities that require specific sequence multiple transactions trigger, which we call multi-transaction vulnerabilities. Due combinatorial explosion problem caused huge number possible transaction sequences, efficiency and scalability for existing security analyzers...

In computer vision, contrastive learning is the most advanced unsupervised framework. Yet previous methods simply apply fixed composition of data augmentations to improve efficiency, which ignores changes in their optimal settings over training. Thus, pre-determined parameters augmentation operations cannot always fit well with an evolving network during whole training period, degrades quality learned representations. this work, we propose AdDA, implements a closed-loop feedback structure...

Language models (LMs) have been argued to overlap substantially with human beings in grammaticality judgment tasks. But when humans systematically make errors language processing, should we expect LMs behave like cognitive of and mimic behavior? We answer this question by investigating LMs’ more subtle judgments associated “language illusions” – sentences that are vague meaning, implausible, or ungrammatical but receive unexpectedly high acceptability humans. looked at three illusions: the...

Due to large amounts of reviews for many similar online products, users often feel difficult determine which products have the most desirable features that they want.In this paper, we propose a model-based approach analyzing and identifying strengths weaknesses product by its features.We Sentence Level Topic Model (SLTM), can classify review sentences into different classes corresponding features.The model contains hidden layer, called topic between corpus words.Once SLTM has been trained...

Quantum coherence underlies different forms of quantum correlations. We investigate the nonlocal advantage (NAQC) for thermal equilibrium states both spin-1/2 and spin-1 Heisenberg XXZ models. By considering NAQC formulated within two slightly frameworks, we showed that their values can always be enhanced by tuning strength spin-exchange interaction along z direction. The maximum achievable decreases with increasing temperature T there will no when is higher than a critical value. Moreover,...

Distant supervision provides a means to create large number of weakly labeled data at low cost for relation classification. However, the resulting instances are very noisy, containing with wrong labels. Many approaches have been proposed select subset reliable neural model training, but they still suffer from noisy labeling problem or underutilization weakly-labeled data. To better more training instances, we introduce small amount manually as reference guide selection process. In this...

Premised on the growth of e-commerce industry and increased consumer income leve ls in South Korea, preferences has a significant change.This transformation is marked by transition from mere price to focus product quality. Consumers are no longer content with merely seeking affordability; instead, they now demand superior quality efficient logistics. Leveraging robust infrastructure well-developed logistics network, Korea pioneered novel retail model that blends online offline elements,...

Our research focuses on decreasing the pollution caused by excess inventory in fashion retailing industry. We choose to focus this problem due lack of solutions region. In past, people just focused how use environmentally friendly materials and produce with lowest amount pollution. To find a new method solve during after consumers purchasing, we built model containing primary fulfillment, retailers, secondary brands factories, etc. them as examples out end combustion inventory. try change...

In the process of financial development, high threshold and credit asymmetry not only increase difficulty cost financing in rural agriculture, but also hinder upgrading agricultural industrial structure delay development modernization. With information technology wide application big data, digital inclusive finance has become an important path inevitable choice to promote modernization China's structure. The project intends use entropy method measure level modernization; Based on two-way...

This study aims to explore how the Dewu shopping application has provided an enhanced trendy online experience for China’s Generation Z consumers (born between 1994 and 2009) since 2018, establishing a new generation of communities. The research employs questionnaire survey method understand usage platforms by users. majority users utilise Dewu, with young constituting platform’s primary clientele. As e-commerce platform focused on culture luxury goods, successfully attracted retained large...

Ethanol has a characteristic narrow band absorption peak (2989.6 cm^-1) that overlaps heavily with the airborne water vapour spectrum, severely affecting detection accuracy when ambient humidity varies significantly. To this end it is particularly critical to investigate method eliminate background effects and improve of ethanol telemetry. Firstly, second harmonic signal concentration under 5000~20000ppm*m environment was simulated by multi-functional fitting method, multivariate...