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MICCAI
2009
Springer
16 years 1 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
16 years 20 days ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
161
Voted
BNCOD
2007
121views Database» more  BNCOD 2007»
15 years 8 months ago
Indexing and Searching XML Documents Based on Content and Structure Synopses
We present a novel framework for indexing and searching schema-less XML documents based on concise summaries of their structural and textual content. Our search query language is X...
Weimin He, Leonidas Fegaras, David Levine
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
15 years 5 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
PPOPP
2011
ACM
14 years 9 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...