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437
Max-margin Markov networks
, 2003
"... In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the margin of confidence of the classifier, are the method of choice for many such tasks. Their popularity stems both from the ..."
Abstract
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Cited by 604 (15 self)
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the ability to use high-dimensional feature spaces, and from their strong theoretical guarantees. However, many real-world tasks involve sequential, spatial, or structured data, where multiple labels must be assigned. Existing kernel-based methods ignore structure in the problem, assigning labels
Efficient Processing of Spatial Joins Using R-Trees
, 1993
"... Abstract: In this paper, we show that spatial joins are very suitable to be processed on a parallel hardware platform. The parallel system is equipped with a so-called shared virtual memory which is well-suited for the design and implementation of parallel spatial join algorithms. We start with an a ..."
Abstract
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Cited by 363 (14 self)
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with an algorithm that consists of three phases: task creation, task assignment and parallel task execu-tion. In order to reduce CPU- and I/O-cost, the three phases are processed in a fashion that pre-serves spatial locality. Dynamic load balancing is achieved by splitting tasks into smaller ones and reassigning
Radiosity and Realistic Image Synthesis
, 1993
"... this paper, such as the global distribution of radiative energy in the tree crowns, which affects the amount of light reaching the leaves and the local temperature of plant organs. The presented framework itself is also open to further research. To begin, the precise functional specification of the ..."
Abstract
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Cited by 355 (0 self)
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for designing plant models, including careful selection of physiological processes incorporated into the model and the spatial resolution of the resulting structures. The complexity of the modeling task can be also addressed at the level of system design, by assigning various components o...
2A Server-Assigned Spatial Crowdsourcing Framework
"... With the popularity of mobile devices, spatial crowdsourcing is rising as a new framework that enables human workers to solve tasks in the physical world. With spatial crowdsourcing, the goal is to crowdsource a set of spatiotemporal tasks (i.e., tasks related to time and location) to a set of worke ..."
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of workers, which requires the workers to physically travel to those locations in order to perform the tasks. In this article, we focus on one class of spatial crowdsourcing, in which the workers send their locations to the server and thereafter the server assigns to every worker tasks in proximity
Real-Time Task Assignment in Hyperlocal Spatial Crowdsourcing under Budget Constraints
"... Abstract—Spatial Crowdsourcing (SC) is a novel platform that engages individuals in the act of collecting various types of spatial data. This method of data collection can significantly reduce cost and turnover time, and is particularly useful in environmental sensing, where traditional means fail t ..."
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Cited by 1 (1 self)
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to provide fine-grained field data. In this study, we introduce hyperlocal spatial crowdsourcing, where all workers who are located within the spatiotemporal vicinity of a task are eligible to perform the task, e.g., reporting the precipitation level at their area and time. In this setting, there is often a
Online Task Assignment in Crowdsourcing Markets
"... We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize the online task assignment problem, in which a requester has a fixed set of tasks and a budget that specifies how many tim ..."
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Cited by 33 (3 self)
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We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize the online task assignment problem, in which a requester has a fixed set of tasks and a budget that specifies how many
To Crowdsource or not to Crowdsource?
"... Crowdsourcing contests—events to solicit solutions to problems via an open-call format for prizes—have gained ground as a mechanism for organizations to accomplish tasks. This paper uses game-theoretic models to develop design principles for crowdsourcing contests and answer the questions: what type ..."
Abstract
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Cited by 2 (0 self)
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types of tasks should be crowdsourced? Under what circumstances? When a single task is to be completed, crowdsourcing can lead to higher quality outcomes than directed assignment if the pool of players is diverse, but can lead to suboptimal outcomes when workers have similar abilities. With multiple
Adaptive Task Assignment for Crowdsourced Classification
"... Crowdsourcing markets have gained popularity as a tool for inexpensively collecting data from diverse populations of workers. Classification tasks, in which workers provide labels (such as “offensive ” or “not offensive”) for instances (such as “websites”), are among the most common tasks posted, bu ..."
Abstract
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Cited by 22 (2 self)
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Crowdsourcing markets have gained popularity as a tool for inexpensively collecting data from diverse populations of workers. Classification tasks, in which workers provide labels (such as “offensive ” or “not offensive”) for instances (such as “websites”), are among the most common tasks posted
Task Matching and Scheduling for Multiple Workers in Spatial Crowdsourcing
"... A new platform, termed spatial crowdsourcing, is emerging which enables a requester to commission workers to physically travel to some specified locations to perform a set of spatial tasks (i.e., tasks related to a geographical location and time). The current approach is to formulate spatial crowdso ..."
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A new platform, termed spatial crowdsourcing, is emerging which enables a requester to commission workers to physically travel to some specified locations to perform a set of spatial tasks (i.e., tasks related to a geographical location and time). The current approach is to formulate spatial
Optimizing Task Assignment for Crowdsourcing Environments
"... In a crowdsourcing system, Human Intelligence Tasks (HITs) (e.g., sentence translation, photo matching, providing keywords for videos) can be conveniently specified. These HITs are available to a large pool of workers, who are paid upon completing their selected HITs. Since these workers may have di ..."
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In a crowdsourcing system, Human Intelligence Tasks (HITs) (e.g., sentence translation, photo matching, providing keywords for videos) can be conveniently specified. These HITs are available to a large pool of workers, who are paid upon completing their selected HITs. Since these workers may have
Results 1 - 10
of
437
