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» Learning from Highly Structured Data by Decomposition
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ICS
2010
Tsinghua U.
15 years 2 months ago
Cache oblivious parallelograms in iterative stencil computations
We present a new cache oblivious scheme for iterative stencil computations that performs beyond system bandwidth limitations as though gigabytes of data could reside in an enormou...
Robert Strzodka, Mohammed Shaheen, Dawid Pajak, Ha...
IPMI
2009
Springer
15 years 10 months ago
Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
Charles DeCarli, Christopher Schwarz, Evan Fletche...
WWW
2001
ACM
15 years 10 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
MCS
2009
Springer
15 years 4 months ago
True Path Rule Hierarchical Ensembles
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
Giorgio Valentini
ICCV
2007
IEEE
15 years 12 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic