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» Relation Extraction Using Support Vector Machine
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NIPS
2001
15 years 4 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
EMNLP
2007
15 years 4 months ago
Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
In this technical report, we propose the use of Lexicalized Tree-Adjoining Grammar (LTAG) formalism as an important additional source of features for the Semantic Role Labeling (S...
Yudong Liu, Anoop Sarkar
ICPR
2008
IEEE
15 years 9 months ago
Online anomal movement detection based on unsupervised incremental learning
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
Kyoko Sudo, Tatsuya Osawa, Hidenori Tanaka, Hideki...
VLDB
1999
ACM
151views Database» more  VLDB 1999»
15 years 7 months ago
Cache Conscious Indexing for Decision-Support in Main Memory
As random access memory gets cheaper, it becomes increasingly affordable to build computers with large main memories. We consider decision support workloads within the context of...
Jun Rao, Kenneth A. Ross
ACCV
2010
Springer
14 years 10 months ago
Indoor Scene Classification Using Combined 3D and Gist Features
Abstract. Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art technique...
Agnes Swadzba, Sven Wachsmuth