Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kaustubh Beedkar"'
Publikováno v:
Proceedings of the VLDB Endowment. 14:2843-2846
In this paper we present our work on compliant geo-distributed data processing. Our work focuses on the new dimension of dataflow constraints that regulate the movement of data across geographical or institutional borders. For example, European direc
Publikováno v:
SIGMOD Conference
In this paper, we address the problem of compliant geo-distributed query processing. In particular, we focus on dataflow policies that impose restrictions on movement of data across geographical or institutional borders. Traditional ways to distribut
Publikováno v:
ACM Transactions on Database Systems. 44:1-42
Frequent sequence mining methods often make use of constraints to control which subsequences should be mined. A variety of such subsequence constraints has been studied in the literature, including length, gap, span, regular-expression, and hierarchy
Publikováno v:
ACM Transactions on Database Systems. 40:1-44
Frequent sequence mining is one of the fundamental building blocks in data mining. While the problem has been extensively studied, few of the available techniques are sufficiently scalable to handle datasets with billions of sequences; such large-sca
Autor:
Rainer Gemulla, Kaustubh Beedkar
Publikováno v:
ICDM
Frequent sequence mining methods often make use of constraints to control which subsequences should be mined. A variety of such subsequence constraints has been studied in the literature, including length, gap, span, regular-expression, and hierarchy
Publikováno v:
CSSE (4)
In this paper we describe a system for improved object matching and retrieval in real world video sequences. We propose a dynamic frame rate model for selecting the best frames from a video based on the frame quality. A novel blur metric based approa