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VLDB
2001
ACM
82views Database» more  VLDB 2001»
15 years 8 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
ICDE
2012
IEEE
199views Database» more  ICDE 2012»
13 years 6 months ago
Physically Independent Stream Merging
—A facility for merging equivalent data streams can support multiple capabilities in a data stream management system (DSMS), such as query-plan switching and high availability. O...
Badrish Chandramouli, David Maier, Jonathan Goldst...
CVPR
2010
IEEE
16 years 12 days ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 9 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
ICCV
2003
IEEE
15 years 9 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...