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302,352
Inductive learning algorithms and representations for text categorization,”
- in Proceedings of the International Conference on Information and Knowledge Management,
, 1998
"... ABSTRACT Text categorization -the assignment of natural language texts to one or more predefined categories based on their content -is an important component in many information organization and management tasks. We compare the effectiveness of five different automatic learning algorithms for text ..."
Abstract
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Cited by 652 (8 self)
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categorization in terms of learning speed, realtime classification speed, and classification accuracy. We also examine training set size, and alternative document representations. Very accurate text classifiers can be learned automatically from training examples. Linear Support Vector Machines (SVMs
Image Quality Assessment: From Error Visibility to Structural Similarity
- IEEE TRANSACTIONS ON IMAGE PROCESSING
, 2004
"... Objective methods for assessing perceptual image quality have traditionally attempted to quantify the visibility of errors between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapt ..."
Abstract
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Cited by 1499 (114 self)
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adapted for extracting structural information from a scene, we introduce an alternative framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set
Learning realistic human actions from movies
- IN: CVPR.
, 2008
"... The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in the past due to several problems one of which is the lack of realistic and annotated video datasets. Our first contribut ..."
Abstract
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Cited by 738 (48 self)
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contribution is to address this limitation and to investigate the use of movie scripts for automatic annotation of human actions in videos. We evaluate alternative methods for action retrieval from scripts and show benefits of a text-based classifier. Using the retrieved action samples for visual learning, we
Investigating Electric Vehicles as a Promising Alternative to Static Storage Solutions
"... Abstract—The rapid advances in the area of Smart Grid has led to the increased penetration of distributed energy resources such as photovoltaic panels and wind parks, as well as empowered the rise of the Electric Vehicles (EV). Futuristic scenarios are currently being investigated, one of which focu ..."
Abstract
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Cited by 2 (2 self)
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promising alternative to static storage solutions. We use real-world data in simulations with the aim to investigate the relationship between different setups in smart cities and their impact. The results point out towards a promising future for EVs, as they can play a key part as part of a collective
Radiotherapy Boost For Gynecologic Tumors: A Promising Alternative To High-Dose
"... www.tcrt.org The purpose of this study is to report toxicity and outcome results in patients with gynaeco logical tumours treated with a final boost using extra-cranial stereotactic radiotherapy (SRT) with a linac-based micro-multileaf collimator technique as an alternative to high-dose rate brachyt ..."
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www.tcrt.org The purpose of this study is to report toxicity and outcome results in patients with gynaeco logical tumours treated with a final boost using extra-cranial stereotactic radiotherapy (SRT) with a linac-based micro-multileaf collimator technique as an alternative to high-dose rate
Review Aptamer-Based Analysis: A Promising Alternative for Food Safety Control
, 2013
"... sensors ..."
Review DNA Sensors with Diamond as a Promising Alternative Transducer Material
, 2009
"... sensors ..."
Desorption/ionization on silicon for small molecules: a promising alternative to MALDI TOF
- Acta Biochim. Pol
"... porous silicon, proteomics A method has been developed for laser desorption/ionization of catecholamines from porous silicon. This methodology is particularly attractive for analysis of small molecules. MALDI TOF mass spectrometry, although a very sensitive technique, uti-lizes matrices that need to ..."
Abstract
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Cited by 1 (0 self)
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porous silicon, proteomics A method has been developed for laser desorption/ionization of catecholamines from porous silicon. This methodology is particularly attractive for analysis of small molecules. MALDI TOF mass spectrometry, although a very sensitive technique, uti-lizes matrices that need to be mixed with the sample prior to their analysis. Each ma-trix produces its own background, particularly in the low-molecular mass region. Therefore, detection and identification of molecules below 400 Da can be difficult. Desorption/ionization of samples deposited on porous silicon does not require addi-tion of a matrix, thus, spectra in the low-molecular mass region can be clearly read-able. Here, we describe a method for the analysis of catecholamines. While MALDI TOF is superior for proteomics/peptidomics, desorption/ionization from porous sili-con can extend the operating range of a mass spectrometer for studies on metabo-lomics (small organic molecules and their metabolites, such as chemical neuro-transmitters, prostaglandins, steroids, etc.). Vol. 50 No. 3/2003
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