We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for largescale computer vision problems. We embed data points nonlinearly on...
Keyword search is a familiar and potentially effective way to find information of interest that is "locked" inside relational databases. Current work has generally assum...
Mayssam Sayyadian, Hieu LeKhac, AnHai Doan, Luis G...
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
Abstract— World data is increasing rapidly, doubling almost every three years[1][2]. To comprehend and use this data effectively, search and recognition (SR) applications will de...
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks ...
Hilal Zitouni, Sare Gul Sevil, Derya Ozkan, Pinar ...