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A Computational Approach to Edge Detection
This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edg...
Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy
Gaussian basis sets of quadruple zeta valence quality for Rb-Rn are presented, as well as bases of split valence and triple zeta valence quality for H-Rn. The latter were obtain...
Mask R-CNN
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously gen...
Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color
Over the last two decades, women have organized against the almost routine violence that shapes their lives. Drawing from the strength of shared experience, women have recognize...
Educational research : planning, conducting, and evaluatingquantitative and qualitative research
A practical, step-by-step core research text that balances coverage of qualitative and quantitative methods The clear and practical writing of Educational Research: Planning, Co...
Institutions, Institutional Change and Economic Performance
Examines the role that institutions, defined as the humanly devised constraints that shape human interaction, play in economic performance and how those institutions change and ...
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread probl...
Alternative Ways of Assessing Model Fit
This article is concerned with measures of fit of a model. Two types of error involved in fitting a model are considered. The first is error of approximation which involves the ...
Random sample consensus
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of interpreting/smoothing data containing a significa...
Accurate and simple analytic representation of the electron-gas correlation energy
We propose a simple analytic representation of the correlation energy ${\mathrm{\ensuremath{\varepsilon}}}_{\mathit{c}}$ for a uniform electron gas, as a function of density par...
C4.5: Programs for Machine Learning
Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have made some of the mos...