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Distance Functions

Seamless Integration of Distance Functions and Feature Vectors for Similarity-Queries Processing

Seamless Integration of Distance Functions and Feature Vectors for Similarity-Queries Processing

... and distance-functions (DF) play a crucial role when com- paring such data, once they can help bridging the semantic gap between users’ intent and the Content-Based Retrieval Systems ...

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Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

... Determining a ranking range for each unit in cross-efficiency evaluation, without any need to make any specific choice of DEA weights is an effective procedure to improve Sexton et al.'s method [8], which is the ...

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On the Commensurability of Directional Distance Functions

On the Commensurability of Directional Distance Functions

... Since Shephard [12], the production theory in neo-classical economics, especially duality issues, has been dominated by what his followers called the Shephard’s distance functions (DFs). Recently, ...

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On Some Class of Distance Functions for Measuring Portfolio Efficiency

On Some Class of Distance Functions for Measuring Portfolio Efficiency

... 4.1.3. Computing the Implicit Risk Aversion Degree In this subsection we show how to compute the implicit risk aversion. First, we define the mathematical programs one should deal with to compute the distance ...

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Predicting triadic closure in networks using communicability distance functions

Predicting triadic closure in networks using communicability distance functions

... In a more recent paper, Lou et al. [32] have developed a method that adds so- ciological information to the network structure in order to predict triadic closure in a Twitter network. Their approach uses information ...

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Unification of several distance functions and a common fixed point result

Unification of several distance functions and a common fixed point result

... [] proved the existence of some fixed point results for mappings satis- fying a contractive condition in a closed neighborhood of a certain point in an ordered dislocated metric space.. [r] ...

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Vol 8, No 8 (2017)

Vol 8, No 8 (2017)

... In this paper, we discuss about common and coincidence fixed point theorems of self maps for altering distance functions and ultra altering distance functions of weak contractions in re[r] ...

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Fixed point theorems for almost generalized \(\mathcal{C}\)-contractive mappings in ordered complete metric spaces

Fixed point theorems for almost generalized \(\mathcal{C}\)-contractive mappings in ordered complete metric spaces

... altering distance functions and the functions having property (P), and to prove some fixed point and common fixed point theorems for such mappings in an ordered complete metric ...

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FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database

FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database

... proprietary functions to extract intrinsic features from images and to compute their ...and distance functions into the database core, whereas providing wider ...

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Distance Function Operations for Developing New Field Functions in Soft Object Modeling

Distance Function Operations for Developing New Field Functions in Soft Object Modeling

... field functions are used as defining functions and the value of a field function is designed to be decreasing from 1 to ...a distance function. Potential functions majorly ensure a field ...

5

DCJ-Indel sorting revisited

DCJ-Indel sorting revisited

... Background: The introduction of the double cut and join operation (DCJ) caused a flurry of research into the study of multichromosomal rearrangements. However, little of this work has incorporated indels (i.e., insertions ...

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Neural network-based shape retrieval using fuzzy clustering and moment-based representations.

Neural network-based shape retrieval using fuzzy clustering and moment-based representations.

... In the proposed approach, Moment Invariants and Zernike Moments are used to extract the visual features of the images. The core of our system is the Neural Network. It takes user’s input--a query image and outputs the ...

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Worst-case analysis of identification - BIBO robustness for closed loop data

Worst-case analysis of identification - BIBO robustness for closed loop data

... Identification or modeling error is then measured by distance functions which lead to the weakest convergence notions for systems such that closed-loop stability, in the sense of BIBO st[r] ...

7

Distance-Based Classification with Lipschitz Functions

Distance-Based Classification with Lipschitz Functions

... in large margin language. In both cases, L( f ) denotes the Lipschitz constant of the function f , and the minimum is taken over a subset of Lipschitz functions on X . To apply this algorithm in practice, the ...

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Modified Kernel Functions by Geodesic Distance

Modified Kernel Functions by Geodesic Distance

... a distance function to determine how close an input vector x is to each stored data ...of distance functions are available for such use, including the Minkowski, Ma- halanobis, Camberra, Chebychev, ...

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Space debris collision avoidance using a three-filter sequence

Space debris collision avoidance using a three-filter sequence

... reducing the number of pairs to be analysed using a filter sequence. Each filter will significantly reduce the number of possible pairs undergoing orbit crossing. Consequently, at the end of the filter sequence, only a ...

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Distance Transforms of Sampled Functions

Distance Transforms of Sampled Functions

... While other methods for computing the EDT of binary functions existed before, these methods have not been used in practice due to their practical complexity. In contrast, our algorithm has been used in a wide ...

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Approximate Comparison of Functions Computed by Distance Automata

Approximate Comparison of Functions Computed by Distance Automata

... In Section 2, we present some classical denitions and we introduce dis- tance automata. We also prove theorem of ane domination (Theorem 3). In Section 3, we formally state our core theorem (Theorem 6), and we apply it ...

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The contribution of Cicloruta on the accessibility in Bogotá : a spatial analysis on Cicloruta’s contribution to job accessibility for different social economic strata

The contribution of Cicloruta on the accessibility in Bogotá : a spatial analysis on Cicloruta’s contribution to job accessibility for different social economic strata

... However, there are many people who live at more than ten minutes walking distance from a TM station, while the actual average walking time to a TM station is six minutes (Teunissen, 2012). This indicates that ...

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Equilibrium gas-phase structures of sodium fluoride, bromide, and iodide monomers and dimers

Equilibrium gas-phase structures of sodium fluoride, bromide, and iodide monomers and dimers

... includes anharmonicity (again only at a cubic level) by utilizing anharmonic constants calculated by taking third derivatives with respect to energy. For the out-of-plane bending discussed above the inclusion of a cubic ...

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