Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-2791-5
Abstract: Computing directional distance functions for a free disposal hull (FDH) technology in general requires solving nonlinear mixed integer programs. Cherchye et al. (J Product Anal 15(3):201–215, 2001) provide an enumeration algorithm for the FDH directional… read more here.
Keywords: directional distance; enumeration algorithms; fdh directional; returns scale ... See more keywords
Distance Functions Based on Multiple Types of Weighted Steps Combined with Neighborhood Sequences
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-018-0805-1
Abstract: In this paper, we present a general framework for digital distance functions, defined as minimal cost paths, on the square grid. Each path is a sequence of pixels, where any two consecutive pixels are adjacent… read more here.
Keywords: functions based; types weighted; distance; based multiple ... See more keywords
ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3548503
Abstract: In this letter, we propose ContactSDF, a method that uses signed distance functions (SDFs) to approximate multi-contact models, including both collision detection and time-stepping routines. ContactSDF first establishes an SDF using the supporting plane representation… read more here.
Keywords: distance functions; multi contact; signed distance; contactsdf ... See more keywords
Learning Bregman Distance Functions for Structural Learning to Rank
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2654250
Abstract: We study content-based learning to rank from the perspective of learning distance functions. Standardly, the two key issues of learning to rank, feature mappings and score functions, are usually modeled separately, and the learning is… read more here.
Keywords: learning rank; distance; structural learning; distance functions ... See more keywords
Accelerating Signed Distance Functions
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DOI: 10.1111/cgf.70258
Abstract: Processing and particularly visualizing implicit surfaces remains computationally intensive when dealing with complex objects built from construction trees. We introduce optimization nodes to reduce the computational cost of the field function evaluation for hierarchical construction… read more here.
Keywords: distance functions; distance; accelerating signed; signed distance ... See more keywords
Fixed Point Theorems via Binary Relations and Generalized Altering Distance Functions with Applications to Boundary Value Problems
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DOI: 10.3390/sym17122064
Abstract: This manuscript seeks to study couple fixed-point findings over a relational extended contraction through a locally, finitely transitive binary relation and a pair of generalized altering distance functions. Various prior discoveries are expanded, refined, modified,… read more here.
Keywords: generalized altering; distance functions; fixed point; altering distance ... See more keywords