Many applications compute aggregate functions over an attribute (or set of attributes) to find aggregate values above some specified threshold. We call such queries iceberg querie...
Min Fang, Narayanan Shivakumar, Hector Garcia-Moli...
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Abstract. This article explores the feasibility of a market-ready, mobile pattern recognition system based on the latest findings in the field of object recognition and currently a...
Boris Ruf, Effrosini Kokiopoulou, Marcin Detynieck...
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...