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ICASSP
2011
IEEE
13 years 6 days ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 1 days ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
WWW
2009
ACM
14 years 3 months ago
Social search and discovery using a unified approach
: This talk describes a research project exploring new ways for augmenting search using multiple types and sources of social information. Our goal is to allow searching for all obj...
Einat Amitay, David Carmel, Nadav Har'El, Shila Of...
AI
2008
Springer
13 years 10 months ago
A Novel Approach for Social Behavior Analysis of the Blogosphere
The web, as a real mass medium, has become an invaluable data source for Information Extraction and Retrieval systems. Digital authoring is a relatively new style of communication,...
Reza Zafarani, Mohammad-Amin Jashki, Hamidreza Bag...