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68,475
Performance of optical flow techniques
- INTERNATIONAL JOURNAL OF COMPUTER VISION
, 1994
"... While different optical flow techniques continue to appear, there has been a lack of quantitative evaluation of existing methods. For a common set of real and synthetic image sequences, we report the results of a number of regularly cited optical flow techniques, including instances of differential, ..."
Abstract
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Cited by 1325 (32 self)
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While different optical flow techniques continue to appear, there has been a lack of quantitative evaluation of existing methods. For a common set of real and synthetic image sequences, we report the results of a number of regularly cited optical flow techniques, including instances of differential
Analysis of relative gene expression data using real-time quantitative
- PCR and 2 ���CT method. Methods 25
, 2001
"... of the target gene relative to some reference group The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantifica-such as an untreated control or a sample at time zero tion and relative quantification. Absolute quantification deter- in a time ..."
Abstract
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Cited by 2666 (6 self)
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variations of the 2 ���CT method that may be script copy number and reporting the relative change useful in the analysis of real-time, quantitative PCR data. � 2001 in gene expression will suffice. For example, stating
The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials,”
- Journal of the American Medical Association,
, 1987
"... To comprehend the results of a randomized, controlled trial (RCT), readers must understand its design, conduct, analysis, and interpretation. That goal can be achieved only through complete transparency from authors. Despite several decades of educational efforts, the reporting of RCTs needs improv ..."
Abstract
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Cited by 787 (15 self)
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To comprehend the results of a randomized, controlled trial (RCT), readers must understand its design, conduct, analysis, and interpretation. That goal can be achieved only through complete transparency from authors. Despite several decades of educational efforts, the reporting of RCTs needs
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
- INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
, 1995
"... We review accuracy estimation methods and compare the two most common methods: cross-validation and bootstrap. Recent experimental results on artificial data and theoretical results in restricted settings have shown that for selecting a good classifier from a set of classifiers (model selection), te ..."
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Cited by 1283 (11 self)
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), ten-fold cross-validation may be better than the more expensive leaveone-out cross-validation. We report on a largescale experiment -- over half a million runs of C4.5 and a Naive-Bayes algorithm -- to estimate the effects of different parameters on these algorithms on real-world datasets. For cross
An inventory for measuring clinical anxiety: Psychometric properties
- JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY
, 1988
"... The development of a 2 l-item self-report inventory for measuring the severity of anxiety in psychia-ric populations i described. The initial item pool f86 items was drawn from three preexisting scales: the Anxiety Checklist, the Physician's Desk Reference Checklist, and the Situational Anxiety ..."
Abstract
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Cited by 778 (1 self)
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(l 53) =.25. Studies addressing the distinctiveness of anxiety and depression depend on the availability of reliable and valid assessment instruments. However, a number of studies have reported high correlations (r>.50) between the widely used rating scales of anxiety and depression (e.g., Dobson
Wide-area Internet traffic patterns and characteristics
- IEEE NETWORK
, 1997
"... The Internet is rapidly growing in number of users, traffic levels, and topological complexity. At the same time it is increasingly driven by economic competition. These developments render the characterization of network usage and workloads more difficult, and yet more critical. Few recent studies ..."
Abstract
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Cited by 518 (0 self)
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The Internet is rapidly growing in number of users, traffic levels, and topological complexity. At the same time it is increasingly driven by economic competition. These developments render the characterization of network usage and workloads more difficult, and yet more critical. Few recent
Atmospheric Modeling, Data Assimilation and Predictability
, 2003
"... Numerical weather prediction (NWP) now provides major guidance in our daily weather forecast. The accuracy of NWP models has improved steadily since the first successful experiment made by Charney, Fj!rtoft and von Neuman (1950). During the past 50 years, a large number of technical papers and repor ..."
Abstract
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Cited by 626 (33 self)
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and reports have been devoted to NWP, but the number of textbooks dealing with the subject has been very small, the latest being the 1980 book by Haltiner & Williams, which was dedicated to descriptions of the atmospheric dynamics and numerical methods for atmospheric modeling. However, in the intervening
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
, 1997
"... A new access meth d, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. whE4 object proximity is only defined by a distance function satisfyingth positivity, symmetry, and triangle inequality postulates. We detail algorith[ for insertion o ..."
Abstract
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Cited by 663 (38 self)
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are reported, considering as th performance criteria th number of page I/O's and th number of distance computations. Th results demonstratethm th Mtree indeed extendsth domain of applicability beyond th traditional vector spaces, performs reasonably well inhE[94Kv#E44V[vh data spaces, and scales well
A Re-Examination of Text Categorization Methods
, 1999
"... This paper reports a controlled study with statistical significance tests on five text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classifier, a neural network (NNet) approach, the Linear Leastsquares Fit (LLSF) mapping and a NaiveBayes (NB) classifier. We f ..."
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Cited by 853 (24 self)
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This paper reports a controlled study with statistical significance tests on five text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classifier, a neural network (NNet) approach, the Linear Leastsquares Fit (LLSF) mapping and a NaiveBayes (NB) classifier. We
Learning and development in neural networks: The importance of starting small
- Cognition
, 1993
"... It is a striking fact that in humans the greatest learnmg occurs precisely at that point in time- childhood- when the most dramatic maturational changes also occur. This report describes possible synergistic interactions between maturational change and the ability to learn a complex domain (language ..."
Abstract
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Cited by 531 (17 self)
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It is a striking fact that in humans the greatest learnmg occurs precisely at that point in time- childhood- when the most dramatic maturational changes also occur. This report describes possible synergistic interactions between maturational change and the ability to learn a complex domain
Results 1 - 10
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68,475
