... instance based on the Euclidean distance to it . Intuitively , larger weights are assigned to instances that are closer to the test instance , assuming that closer instances more accurately reflect the properties of the instance at hand ...

... instance if most of its associate , instances in the current subset having it as one of their k - nearest neighbors ( KNN ) , are classified correctly without it . Noisy instances are usually removed as they can hardly classify their ...

... instance boosting for object detection . In : Pro- ceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition ( CVPR 2014 ) , pp . 2433–2440 . IEEE , Los Alamitos ( 2014 ) 2. Amar , R.A. , Dooly , D.R. , Goldman ...

... Instance symbols ( constants that name or variables that range over , to one of two extents , instances of intensions ) : j j ... j Full instance variables : an infinite list of one - place instance variables for each of the one - place ...

... Instance Learning In this work, we considered the importance of the instances in the positive bag X+ during the learning process. The weight of the j-th positive instance in X+ is obtained by using the filtered objectness measure: 1 ...

... instance numbers , but that on any server the instance numbers could change . Even if the instance number changes , though , the leading instance digits seem to stay the same for all disks or filesystems of the same type . For example ...

... Instance of Occidental Negros , one stenographer at thirty - two hundred pesos per annum ; for the Court of First Instance of Iloilo , one stenographer at twenty - eight hun- dred pesos per annum , and one junior stenographer at two ...

While covering many different aspects of improving instance search in this work, we outline three potential directions for future work: advanced feature representation, data driven rank and cloud-based search algorithms.