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Results 11 - 20
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4,297
Building rome in a day.
- In Proc. Int. Conf. on Computer Vision.
, 2009
"... We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs such as those found by searching for a given city (e.g., Rome) on Internet photo-sharing sites. Our system is built on a set of new, distributed computer vision algorithms for image matching and ..."
Abstract
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Cited by 285 (30 self)
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and 3D reconstruction, designed to maximize parallelism at each stage of the pipeline and to scale gracefully with both the size of the problem and the amount of available computation. Our experimental results demonstrate that it is now possible to reconstruct city-scale image collections with more than
Self Organization of a Massive Document Collection
- IEEE Transactions on Neural Networks
"... This article describes the implementation of a system that is able to organize vast document collections according to textual similarities. It is based on the Self-Organizing Map (SOM) algorithm. As the feature vectors for the documents we use statistical representations of their vocabularies. The m ..."
Abstract
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Cited by 264 (15 self)
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This article describes the implementation of a system that is able to organize vast document collections according to textual similarities. It is based on the Self-Organizing Map (SOM) algorithm. As the feature vectors for the documents we use statistical representations of their vocabularies
Two-Level Many-Paths Generation
- In Proc. ACL
, 1995
"... Large-scale natural language generation requires the integration of vast amounts of knowledge: lexical, grammatical, and conceptual. ..."
Abstract
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Cited by 86 (7 self)
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Large-scale natural language generation requires the integration of vast amounts of knowledge: lexical, grammatical, and conceptual.
Im2gps: estimating geographic information from a single image
- in IEEE Conference on Computer Vision and Pattern Recognition
, 2008
"... Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally – on the scale of the entire planet ..."
Abstract
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Cited by 202 (13 self)
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Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally – on the scale of the entire
Unexpectedness as a Measure of Interestingness in Knowledge Discovery
- In Proceedings of the First International Conference on Knowledge Discovery and Data Mining
, 1999
"... Organizations are taking advantage of "data-mining" techniques to leverage the vast amounts of data captured as they process routine transactions. Data-mining is the process of discovering hidden structure or patterns in data. However several of the pattern discovery methods in datamining ..."
Abstract
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Cited by 183 (11 self)
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Organizations are taking advantage of "data-mining" techniques to leverage the vast amounts of data captured as they process routine transactions. Data-mining is the process of discovering hidden structure or patterns in data. However several of the pattern discovery methods in datamining
SAR sea ice recognition using texture methods
- MASTER’S THESIS
, 2002
"... With the development of remote sensing techniques, a vast amount of SAR sea ..."
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Cited by 6 (2 self)
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With the development of remote sensing techniques, a vast amount of SAR sea
Wanted! Evidence based guidelines for unseen invigilated
"... Assessment has been the subject of vast amounts of literature in higher education for at least the ..."
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Assessment has been the subject of vast amounts of literature in higher education for at least the
Control Theory-Based Foundations of SelfControlling Software
- IEEE Intelligent Systems
, 1999
"... this article will expedite this mapping, letting software engineers exploit the vast amounts of knowledge and experience accumulated in control theory. ..."
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Cited by 42 (5 self)
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this article will expedite this mapping, letting software engineers exploit the vast amounts of knowledge and experience accumulated in control theory.
Scheduling algorithms and operating systems support for real-time systems
- PROCEEDINGS OF THE IEEE
, 1994
"... This paper summarizes the state of the real-time field in the areas of scheduling and operating system kernels. Given the vast amount of work that has been done by both the operations research and computer science communities in the scheduling area, we discuss four paradigms underlying the schedulin ..."
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Cited by 156 (1 self)
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This paper summarizes the state of the real-time field in the areas of scheduling and operating system kernels. Given the vast amount of work that has been done by both the operations research and computer science communities in the scheduling area, we discuss four paradigms underlying
A Web Tool for Expression Pattern-Based Data Retrieval and Relevant Network Discovery from vast Public Microarray Database
"... DNA microarray technology provides us with a first step toward the goal of uncovering gene functions on a genomic scale [1]. In recent years, vast amounts of gene expression data have been collected, much of which are available in public databases, such as the Gene Expression Omnibus (GEO) [2]. To d ..."
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DNA microarray technology provides us with a first step toward the goal of uncovering gene functions on a genomic scale [1]. In recent years, vast amounts of gene expression data have been collected, much of which are available in public databases, such as the Gene Expression Omnibus (GEO) [2
Results 11 - 20
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4,297
