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» Descriptor Learning for Efficient Retrieval
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148
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 3 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002
119
Voted
WIKIS
2006
ACM
15 years 9 months ago
How to use a Wiki in education: 'Wiki based effective constructive learning'
Learning effectiveness depends on a large range of parameters. Learners’ activity has an important impact on long-term learning and comprehension of difficult concepts [1]. Coll...
Michele Notari
131
Voted
SAC
2005
ACM
15 years 9 months ago
A hierarchical naive Bayes mixture model for name disambiguation in author citations
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles
DAC
2005
ACM
16 years 4 months ago
Efficient SAT solving: beyond supercubes
SAT (Boolean satisfiability) has become the primary Boolean reasoning engine for many EDA applications, so the efficiency of SAT solving is of great practical importance. Recently...
Domagoj Babic, Jesse D. Bingham, Alan J. Hu
121
Voted
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 3 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu