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ESOP
2009
Springer
16 years 1 months ago
Amortised Memory Analysis Using the Depth of Data Structures
Hofmann and Jost have presented a heap space analysis [1] that finds linear space bounds for many functional programs. It uses an amortised analysis: assigning hypothetical amount...
Brian Campbell
BMCBI
2006
202views more  BMCBI 2006»
15 years 6 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
JAIR
2002
101views more  JAIR 2002»
15 years 6 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
NIPS
2007
15 years 7 months ago
A learning framework for nearest neighbor search
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Lawrence Cayton, Sanjoy Dasgupta
DEXAW
2006
IEEE
140views Database» more  DEXAW 2006»
16 years 15 days ago
String-Matching and Update through Algebraic Signatures in Scalable Distributed Data Structures
: Scalable Distributed Data Structures (SDDSs) store large scalable files over a distributed RAM of nodes in a grid or a P2P network. The files scale transparently for the applicat...
Riad Mokadem, Witold Litwin