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» Learning Object Representations Using Sequential Patterns
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CVPR
2010
IEEE
14 years 4 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
JMLR
2006
120views more  JMLR 2006»
13 years 7 months ago
Learning Parts-Based Representations of Data
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
David A. Ross, Richard S. Zemel
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
13 years 7 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards
CIKM
2005
Springer
14 years 1 months ago
Exact match search in sequence data using suffix trees
We study suitable indexing techniques to support efficient exact match search in large biological sequence databases. We propose a suffix tree (ST) representation, called STA-DF, ...
Mihail Halachev, Nematollaah Shiri, Anand Thamildu...
MCS
2005
Springer
14 years 1 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun