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» Contention-Sensitive Data Structures and Algorithms
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MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 6 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
SIGCSE
2012
ACM
310views Education» more  SIGCSE 2012»
12 years 3 months ago
CSTutor: a pen-based tutor for data structure visualization
We present CSTutor, a sketch-based interface designed to help students understand data structures. It currently supports Linked Lists, Binary Search Trees, AVL Trees, and Heaps, a...
Sarah Buchanan, Brandon Ochs, Joseph J. LaViola Jr...
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 7 months ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis
TIT
1998
80views more  TIT 1998»
13 years 7 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
SIGCSE
1999
ACM
91views Education» more  SIGCSE 1999»
13 years 12 months ago
Using randomization in the teaching of data structures and algorithms
We describe an approach for incorporating randomization in the teaching of data structures and algorithms. The proofs we include are quite simple and can easily
Michael T. Goodrich, Roberto Tamassia