The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Over the last decade, a number of methods for geometric matching based on a branch-and-bound approach have been proposed. Such algorithms work by recursively subdividing transforma...
We propose a dynamic faceted search system for discoverydriven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically s...
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia...
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...
In this paper, we explore the problem of processing a novel type of location based queries, named the location based top-k query, which involves both of spatial and non-spatial sp...
HaRim Jung, Byung Ku Cho, Yon Dohn Chung, Ling Liu