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NIPS
2008
13 years 10 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
ANLP
1992
117views more  ANLP 1992»
13 years 10 months ago
Detecting and Correcting Morpho-syntactic Errors in Real Texts
This paper presents a system which detects and corrects morpho-syntactic errors in Dutch texts. It includes a spelling corrector and a shift-reduce parser for Augmented Context-fr...
Theo Vosse
ML
2008
ACM
174views Machine Learning» more  ML 2008»
13 years 8 months ago
ALLPAD: approximate learning of logic programs with annotated disjunctions
In this paper we present the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world ...
Fabrizio Riguzzi
ISLPED
2009
ACM
132views Hardware» more  ISLPED 2009»
14 years 3 months ago
Enabling ultra low voltage system operation by tolerating on-chip cache failures
Extreme technology integration in the sub-micron regime comes with a rapid rise in heat dissipation and power density for modern processors. Dynamic voltage scaling is a widely us...
Amin Ansari, Shuguang Feng, Shantanu Gupta, Scott ...
ISBI
2004
IEEE
14 years 9 months ago
Statistical Surface-Based Morphometry Using a Non-Parametric Approach
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...