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NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
ISMIS
1997
Springer
15 years 11 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
ICCCI
2009
Springer
15 years 11 months ago
On Deriving Tagsonomies: Keyword Relations Coming from Crowd
Abstract. Many keyword-based approaches to text classification, information retrieval or even user modeling for adaptive web-based system could benefit from knowledge on relation...
Michal Barla, Mária Bieliková
SIGIR
2006
ACM
16 years 20 days ago
Mining dependency relations for query expansion in passage retrieval
Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing pa...
Renxu Sun, Chai-Huat Ong, Tat-Seng Chua
ERCIMDL
2009
Springer
102views Education» more  ERCIMDL 2009»
16 years 1 months ago
Data Recovery from Distributed Personal Repositories
We present an approach to personal disaster recovery, e.g. after a hard-disk crash, based not on an explicitly ex-ante defined recovery plan with a rigid backup regime, but rather...
Rudolf Mayer, Robert Neumayer, Andreas Rauber