Guided lazy snapping for long thin object selection
نویسندگان
چکیده
منابع مشابه
Competence-guided Editing Methods for Lazy Learning
Lazy learning algorithms retain their raw training examples and defer all example-processing until problem solving time (eg, case-based learning, instance-based learning, and nearest-neighbour methods). A case-based classifier will typically compare a new target query to every case in its case-base (its raw training data) before deriving a target classification. This can make lazy methods prohi...
متن کاملImproving Lazy Attribute Selection
Attribute selection is a data preprocessing step which aims at identifying relevant attributes for a target data mining task – specifically in this article, the classification task. Previously, we have proposed a new attribute selection strategy – based on a lazy learning approach – which postpones the identification of relevant attributes until an instance is submitted for classification. Expe...
متن کاملOscillatory model of attention-guided object selection and novelty detection
We develop a new oscillatory model that combines consecutive selection of objects and discrimination between new and familiar objects. The model works with visual information and fulfils the following operations: (1) separation of different objects according to their spatial connectivity; (2) consecutive selection of objects located in the visual field into the attention focus; (3) extraction o...
متن کاملNumerical Simulation guided Lazy Abstraction Refinement for Nonlinear Hybrid Automata
This draft suggests a new counterexample guided abstraction refinement (CEGAR) framework that uses the combination of numerical simulation for nonlinear differential equations with linear programming for linear hybrid automata (LHA) to perform reachability analysis on nonlinear hybrid automata. A notion of ǫ− structural robustness is also introduced which allows the algorithm to validate counte...
متن کاملGoal-Snapping: An Empirical Evaluation of Object Snapping in Tangible and Multi-Touch Interfaces
We present “Goal-snapping”, a novel approach for applying snapping techniques to tangible and multi-touch interfaces. It can be used to support users in accomplishing basic tasks such as aligning, sorting or grouping of virtual objects. As using snapping on large surfaces poses challenges in interaction design, we identify and discuss according parameters in Goal-snapping. For sorting and align...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2018
ISSN: 2261-236X
DOI: 10.1051/matecconf/201818910026