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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 7 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
16 years 3 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
WISE
2009
Springer
16 years 3 months ago
Facing Tagging Data Scattering
Web2.0 has brought tagging at the forefront of user practises for organizing and locating resources. Unfortunately, these tagging efforts suffer from a main drawback: lack of inter...
Oscar Díaz, Jon Iturrioz, Cristóbal ...
MMM
2009
Springer
120views Multimedia» more  MMM 2009»
16 years 3 months ago
Multimedia Evidence Fusion for Video Concept Detection via OWA Operator
Abstract. We present a novel multi-modal evidence fusion method for highlevel feature (HLF) detection in videos. The uni-modal features, such as color histogram, transcript texts, ...
Ming Li, Yantao Zheng, Shouxun Lin, Yong-Dong Zhan...
ICML
2006
IEEE
16 years 3 months ago
Cover Trees for Nearest Neighbor
We present a tree data structure for fast nearest neighbor operations in general n- point metric spaces (where the data set con- sists of n points). The data structure re- quir...
Alina Beygelzimer, Sham Kakade, John Langford