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» Using Supervised Clustering to Enhance Classifiers
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NAACL
2003
14 years 11 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith
69
Voted
CVPR
2006
IEEE
15 years 11 months ago
Animals on the Web
We demonstrate a method for identifying images containing categories of animals. The images we classify depict animals in a wide range of aspects, configurations and appearances. ...
Tamara L. Berg, David A. Forsyth
119
Voted
CVPR
2006
IEEE
15 years 11 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
151
Voted
ISNN
2011
Springer
14 years 12 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
LREC
2008
82views Education» more  LREC 2008»
14 years 11 months ago
A Linguistic Resource for Discovering Event Structures and Resolving Event Coreference
In this paper, we present a linguistic resource that annotates event structures in texts. We consider an event structure as a collection of events that interact with each other in...
Cosmin Adrian Bejan, Sanda M. Harabagiu