9 citations · 13 across the 7 of their papers we have counts for
7 papers · 1 filter
Weighted Distance Nearest Neighbor Condensing
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
The problem of nearest neighbor condensing has enjoyed a long history of study, both in its theoretical and practical aspects. In this paper, we introduce the problem of weighted d…
Using Deepfake Technologies for Word Emphasis Detection
Eran Kaufman, Lee-Ad Gottlieb
In this work, we consider the task of automated emphasis detection for spoken language. This problem is challenging in that emphasis is affected by the particularities of speech of…
Nested Barycentric Coordinate System as an Explicit Feature Map
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich +2
We propose a new embedding method which is particularly well-suited for settings where the sample size greatly exceeds the ambient dimension. Our technique consists of partitioning…
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
We consider the problem of cost sensitive multiclass classification, where we would like to increase the sensitivity of an important class at the expense of a less important one. W…
Classification in asymmetric spaces via sample compression
Lee-Ad Gottlieb, Shira Ozeri
We initiate the rigorous study of classification in quasi-metric spaces. These are point sets endowed with a distance function that is non-negative and also satisfies the triangle…
Learning convex polyhedra with margin
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich +1
We present an improved algorithm for {\em quasi-properly} learning convex polyhedra in the realizable PAC setting from data with a margin. Our learning algorithm constructs a consi…