Bayesian networks based on mixtures of polynomials (MoPs) are used to model multivariate hybrid or continuous probability distributions. MoPs try to provide a flexible yet simple model to deal with probabilistic reaso...
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ISBN:
(纸本)9783031777301;9783031777318
Bayesian networks based on mixtures of polynomials (MoPs) are used to model multivariate hybrid or continuous probability distributions. MoPs try to provide a flexible yet simple model to deal with probabilistic reasoning, approximating complex or empirical probability distributions. We review the main models based on MoPs in the literature, introducing the mixtures of polynomials with tails (tMoPs) and derive analytically their main statistical properties: (cumulative) distribution function, moments, variance and moment-generating function. Also, we present an algorithm for learning a tMOPs density from data. This learning algorithm is tested with several standard probability distributions. In these experiments, the tMOPs models yield satisfactory results in comparison to other MoPs available alternatives. Finally, we sketch the process of building a meta-model that can directly provide a tMOPs expression for a specific density among a given family. This idea is tested with the well-known Beta distribution (two shape parameters), giving promising results.
Research Data Management (RDM) is essential in handling and organizing data in the research field. The Berlin Open science Platform (BOP) serves as a case study that exemplifies the significance of standardization wit...
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ISBN:
(纸本)9783031789519;9783031789526
Research Data Management (RDM) is essential in handling and organizing data in the research field. The Berlin Open science Platform (BOP) serves as a case study that exemplifies the significance of standardization within the Berlin University Alliance (BUA), employing different vocabularies when publishing their data, resulting in data heterogeneity. The meta portals of the NFDI4Cat and the NFDI4Datascience project serve as additional case studies in the context of the NFDI initiative. To establish consistency among the harvested repositories in the respective systems, this study focuses on developing a novel component, namely the converter, that breaks barriers between data collection and various schemas. With the minor modification of the existing Piveau framework, the development of the converter, contributes to enhanced data accessibility, streamlined collaboration, and improved interoperability within the research community.
Accelerators have become a corner stone of parallel computing, ranging from scientific computing to artificial intelligence. At the application level, accelerators are controlled by submitting work into a stream, from...
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ISBN:
(纸本)9783031733697;9783031733703
Accelerators have become a corner stone of parallel computing, ranging from scientific computing to artificial intelligence. At the application level, accelerators are controlled by submitting work into a stream, from which the work is executed by the hardware. Vendor-specific communication libraries such as NCCL and RCCL have integrated support for submitting communication operations onto a stream to enable ordering of communication and work on streams. It is safe to assume that stream-based computing will remain relevant for the foreseeable future. MPI has yet to catch up to this reality and prior proposals involved extensions of MPI that would incur significant additions to the API. In this work, we explore alternatives that involve only minor additions to the standard to enable the integration of MPI operations with compute stream. Our additions include i) associating streams with communication objects, ii) blocking streams until completion, and iii) synchronizing streams while progressing MPI operations. Our API is agnostic of the type of stream, reuses existing communication procedures and semantics, and enables integration with graph capturing. We provide a proof-of-concept implementation and show that stream integration of MPI operations can be beneficial.
Given a set P of n points in the plane and two points x and y not in P, such that their union is in general position, we say that x and y have the same view of P if the points of P are visible in the same cyclic order...
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ISBN:
(纸本)9783031754081;9783031754098
Given a set P of n points in the plane and two points x and y not in P, such that their union is in general position, we say that x and y have the same view of P if the points of P are visible in the same cyclic order from x and y. We show that for every set P of n points in general position in the plane, there are Omega(n(4)) points with mutually distinct views of P, confirming a conjecture by Diaz-Banez, Fabila-Monroy and Perez-Lantero and a conjecture by Bieri and Schmidt. We also provide an easier alternative proof for point sets in strong general position.
Table reconstruction (TR) aims to extract cell contents and logical structure from table images. Existing table reconstruction methods are superior in recognizing logical structure, but they are inhibited by slow deco...
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ISBN:
(纸本)9789819785100;9789819785117
Table reconstruction (TR) aims to extract cell contents and logical structure from table images. Existing table reconstruction methods are superior in recognizing logical structure, but they are inhibited by slow decoding speed, error accumulation in long sequences, and varying cell sizes in table images, which are critical for subsequent table reconstruction. To address these problems, we propose TableRocket, a table reconstruction framework that includes an end-to-end layout cell instance segmentation module based on multi-stage query mechanisms and a non-autoregressive (NAR) logical structure generation module. TableRocket employs an innovative method for model layout cell segmentation by introducing dynamic candidate boxes and features to more accurately address the problem of varying cell sizes in table images, and has developed an algorithm specifically for logical structure generation based on layout cell bounding boxes. Extensive experimental results demonstrate that TableRocket achieves significantly faster inference speeds, while maintaining comparable performance to the auto-regressive model.
Consider the task of secure multiparty computation (MPC) among n parties with perfect security and guaranteed output delivery, supporting t < n/3 active corruptions. Suppose the arithmetic circuit C to be computed ...
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ISBN:
(纸本)9789819609376;9789819609383
Consider the task of secure multiparty computation (MPC) among n parties with perfect security and guaranteed output delivery, supporting t < n/3 active corruptions. Suppose the arithmetic circuit C to be computed is defined over a finite ring Z/qZ, for an arbitrary q is an element of Z. It is known that this type of MPC over such ring is possible, with communication that scales as O(n vertical bar C vertical bar), assuming that q scales as Omega(n). However, for constant-size rings Z/qZ where q = O(1), the communication is actually O(n log n vertical bar C vertical bar) due to the need of the so-called ring extensions. In most natural settings, the number of parties is variable but the "datatypes" used for the computation are fixed (e.g. 64-bit integers). In this regime, no protocol with linear communication exists. In this work we provide an MPC protocol in this setting: perfect security, G.O.D. and t < n/3 active corruptions, that enjoys linear communication O(n vertical bar C vertical bar), even for constant-size rings Z/qZ. This includes as important particular cases small fields such as F-2, and also the ring Z/2(k)Z. The main difficulty in achieving this result is that widely used techniques such as linear secret-sharing cannot work over constant-size rings, and instead, one must make use of ring extensions that add Omega(log n) overhead, while packing Omega(log n) ring elements in each extension element in order to amortize this cost. We make use of reverse multiplication-friendly embeddings (RMFEs) for this packing, and adapt recent techniques in network routing (Goyal et al. CRYPTO'22) to ensure this can be efficiently used for non-SIMD circuits. Unfortunately, doing this naively results in a restriction on the minimum width of the circuit, which leads to an extra additive term in communication of poly(n) . depth(C). One of our biggest technical contributions lies in designing novel techniques to overcome this limitation by packing elements that are distri
This study highlights the global vulnerability to diseases like COVID-19 and focuses on modeling the spread of mosquito-borne diseases, particularly leishmaniasis. The choice of leishmaniasis is due to its rising prev...
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ISBN:
(纸本)9783031782404;9783031782411
This study highlights the global vulnerability to diseases like COVID-19 and focuses on modeling the spread of mosquito-borne diseases, particularly leishmaniasis. The choice of leishmaniasis is due to its rising prevalence and the potential impact of climate change on sandfly populations, key vectors in its transmission. The modeling approach involves models based on differential equations and adaptation of SEIRD models used for COVID-19 to simulate the specific dynamics of transmission between sandflies and humans or dogs. Climate change is a critical factor, influencing disease patterns and spread through temperature rise that favor sandflies proliferation. This preliminary study aims to offer insights into the future evolution of the implementation of models to represent sandflies-borne diseases and strategies for mitigating their impacts.
This paper focuses on enhancing temporal color constancy in video sequences, ensuring that the result not only achieves color accuracy frame-by-frame but is also consistent over time. Our approach consists of a three-...
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ISBN:
(纸本)9783031728440;9783031728457
This paper focuses on enhancing temporal color constancy in video sequences, ensuring that the result not only achieves color accuracy frame-by-frame but is also consistent over time. Our approach consists of a three-step process: per-frame illuminant estimation and correction, video stabilization to ensure temporal consistency, and consensus-based illuminant correction. By employing consensus-driven illuminant estimation over the result of temporal stabilization, we effectively mitigate spatial artifacts and concurrently enhance the overall stability of the sequence. Our method is tested using the Gray Ball and BCC datasets, showing the potential of integrating temporal stabilization with color correction processes to enhance the visual continuity of video content. While our primary objective is to reduce temporal flickering, a significant side effect of our approach is the improvement of color constancy accuracy across frames.
Orchestrating microservices in geo-distributed Cloud-toEdge environments introduces challenges, particularly with maintaining response time SLOs due to network instability. Kubernetes, the standard for container orche...
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ISBN:
(纸本)9789819608072;9789819608089
Orchestrating microservices in geo-distributed Cloud-toEdge environments introduces challenges, particularly with maintaining response time SLOs due to network instability. Kubernetes, the standard for container orchestration, faces limitations in scheduling and descheduling when applied to such complex, distributed applications. Its default policies do not account for response time SLOs or the dynamic state of applications and infrastructure. This study proposes an enhancement to Kubernetes with a network SLO-aware scheduling and descheduling strategy, enabling adaptive placement based on the observed runtime application response times. Our approach is benchmarked against default Kubernetes scheduling policies to demonstrate its effectiveness.
Tumor-infiltrating lymphocytes (TILs) and their spatial interactions with tumors on whole-slide images (WSIs) of histopathology sections can provide valuable information about the immune response within the tumor micr...
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ISBN:
(纸本)9783031732928;9783031732904
Tumor-infiltrating lymphocytes (TILs) and their spatial interactions with tumors on whole-slide images (WSIs) of histopathology sections can provide valuable information about the immune response within the tumor micro-environment that is closely associated with the progression of human cancers. To effectively exploit the interactions between TILs and Tumors from WSIs, spatially informed analysis tools are required. Here, we present GCTIL, a simple but effective graph contrastive learning framework to learn meaningful representations for the TILs and tumor nodes extracted from the WSIs. Specifically, GCTIL considers the graph permutation of different strength to help learn robust node representations that can not only capture the structural characteristics of the graph but also preserve the correct distance orders among different permutations. Moreover, GCTIL also imposes distance constraints to distinguish the node embeddings of different types (i.e., TILs and Tumor). Then, based on the patch representation derived from GCTILs, we apply the graph attention networks (GATs) to describe the spatial interactions between TILs and tumor regions in WSIs for survival analysis of human cancers. We evaluate the performance of our method on the Breast Invasive Carcinoma (i.e., BRCA) cohort derived from The Cancer Genome Atlas (TCGA), and the experimental results indicate that our method is superior to the comparing methods.
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