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1763views
14 years 4 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
HPCA
2001
IEEE
14 years 8 months ago
CARS: A New Code Generation Framework for Clustered ILP Processors
Clustered ILP processors are characterized by a large number of non-centralized on-chip resources grouped into clusters. Traditional code generation schemes for these processors c...
Krishnan Kailas, Kemal Ebcioglu, Ashok K. Agrawala
WSDM
2010
ACM
173views Data Mining» more  WSDM 2010»
14 years 5 months ago
Measuring the Reusability of Test Collections
While test collection construction is a time-consuming and expensive process, the true cost is amortized by reusing the collection over hundreds or thousands of experiments. Some ...
Ben Carterette, Evgeniy Gabrilovich, Vanja Josifov...
SC
2000
ACM
14 years 26 days ago
A Comparative Study of the NAS MG Benchmark across Parallel Languages and Architectures
Hierarchical algorithms such as multigrid applications form an important cornerstone for scientific computing. In this study, we take a first step toward evaluating parallel lan...
Bradford L. Chamberlain, Steven J. Deitz, Lawrence...
SIGIR
2008
ACM
13 years 8 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...