We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Given two classifications, or lightweight ontologies, we compute the minimal mapping, namely the subset of all possible correspondences, called mapping elements, between them such ...
Abstract— We present a strategy for resolving multiple hypotheses of a robot’s state during global localization. The strategy operates in two stages. In the first stage a uniq...
Rakesh Goyal, K. Madhava Krishna, Shivudu Bhuvanag...
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...