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981
Learning Monotonic Transformations for Classification
, 2007
"... A discriminative method is proposed for learning monotonic transformations of the training data while jointly estimating a large-margin classifier. In many domains such as document classification, image histogram classification and gene microarray experiments, fixed monotonic transformations can be ..."
Abstract
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Cited by 5 (2 self)
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A discriminative method is proposed for learning monotonic transformations of the training data while jointly estimating a large-margin classifier. In many domains such as document classification, image histogram classification and gene microarray experiments, fixed monotonic transformations can
Non-Monotonic Transformation of Access Rights
, 1992
"... The concept of transformation of access rights was recently introduced in the literature by Sandhu. It has been previously shown that monotonic transformations unify a number of diverse access control mechanisms such as ampli#cation, copy #ags, separation of duties and synergistic authorization. In ..."
Abstract
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Cited by 22 (12 self)
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The concept of transformation of access rights was recently introduced in the literature by Sandhu. It has been previously shown that monotonic transformations unify a number of diverse access control mechanisms such as ampli#cation, copy #ags, separation of duties and synergistic authorization
NON-MONOTONIC TRANSFORMATION KINETICS AND THE MORPHOLOGICAL STABILITY OF PHASE BOUNDARIES IN THERMOELASTIC MATERIALS
, 1991
"... Non-monotonic transformation kinetics and the morphological stability of phase boundaries in thermoelastic materials ..."
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Non-monotonic transformation kinetics and the morphological stability of phase boundaries in thermoelastic materials
Robust wide baseline stereo from maximally stable extremal regions
- In Proc. BMVC
, 2002
"... The wide-baseline stereo problem, i.e. the problem of establishing correspon-dences between a pair of images taken from different viewpoints is studied. A new set of image elements that are put into correspondence, the so called extremal regions, is introduced. Extremal regions possess highly de-sir ..."
Abstract
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Cited by 1016 (35 self)
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-sirable properties: the set is closed under 1. continuous (and thus projective) transformation of image coordinates and 2. monotonic transformation of im-age intensities. An efficient (near linear complexity) and practically fast de-tection algorithm (near frame rate) is presented for an affinely-invariant stable
Multiresolution grayscale and rotation invariant texture classification with local binary patterns
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2002
"... This paper presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is based on recognizing that certain ..."
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Cited by 1299 (39 self)
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;uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis. The proposed approach is very robust in terms of gray-scale variations since the operator is, by definition, invariant against any monotonic
One-Representative Safety Analysis in the Non-Monotonic Transform Model
, 1994
"... We analyze the safety question for the Non-Monotonic Transform (NMT) model, an access control model that encompasses a wide variety of practical access control mechanisms. In general, safety analysis, i.e whether it is possible for a specified subject to obtain a given access right for a certain obj ..."
Abstract
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Cited by 3 (0 self)
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We analyze the safety question for the Non-Monotonic Transform (NMT) model, an access control model that encompasses a wide variety of practical access control mechanisms. In general, safety analysis, i.e whether it is possible for a specified subject to obtain a given access right for a certain
Dual Image Graph Contractions Invariant to Monotonic Transformations of Image Intensity
, 1999
"... Human image understanding copes with image intensity transformations, as long as they are monotonic, i.e. the local ordering of the intensities is nowhere disturbed. Conversely, changes in image structure entail intensity transformations, which are not monotonic. In this paper, we study a class of d ..."
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Cited by 1 (0 self)
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Human image understanding copes with image intensity transformations, as long as they are monotonic, i.e. the local ordering of the intensities is nowhere disturbed. Conversely, changes in image structure entail intensity transformations, which are not monotonic. In this paper, we study a class
Convex- and Monotone-Transformable Mathematical Programming Problems and a Proximal-Like Point Method
, 2003
"... The problem of finding singularities of monotone vectors fields on Hadamard manifolds will be considered and solved by extending the well-known proximal point algorithm. For monotone vector fields the algorithm will generate a well defined sequence, and for monotone vector fields with singularities ..."
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Cited by 2 (0 self)
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The problem of finding singularities of monotone vectors fields on Hadamard manifolds will be considered and solved by extending the well-known proximal point algorithm. For monotone vector fields the algorithm will generate a well defined sequence, and for monotone vector fields with singularities
Learning to Blend Rankings: a Monotonic Transformation to Blend Rankings from Heterogeneous Domains
"... There have been great needs to develop effective methods for combining multiple rankings from heterogeneous domains into one single rank list arising from many recent web search applications, such as integrating web search results from multiple engines, facets, or verticals. We define this problem a ..."
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as Learning to blend rankings from multiple domains. We propose a class of learning-to-blend methods that learn a monotonically increasing transformation for each ranking so that the rank order in each domain is preserved and the transformed values are comparable across multiple rankings. The transformation
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