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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 4 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
SIGMOD
2004
ACM
149views Database» more  SIGMOD 2004»
16 years 4 months ago
Incremental Maintenance of XML Structural Indexes
Increasing popularity of XML in recent years has generated much interest in query processing over graph-structured data. To support efficient evaluation of path expressions, many ...
Ke Yi, Hao He, Ioana Stanoi, Jun Yang 0001
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
15 years 10 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
ICPPW
2002
IEEE
15 years 9 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
COMMA
2006
15 years 5 months ago
CBR and Argument Schemes for Collaborative Decision Making
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation. This approach involves 1) the use of CBR for evaluating the arguments submitt...
Pancho Tolchinsky, Sanjay Modgil, Ulises Cort&eacu...