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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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ICETET
2009
IEEE
14 years 9 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
IADIS
2008
15 years 1 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider
DAS
2008
Springer
15 years 1 months ago
Named Entity Recognition by Neural Sliding Window
Named Entity Recognition (NER) is an important subtask of document processing such as Information Extraction. This paper describes a NER algorithm which uses a Multi-Layer Percept...
Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo,...
EMNLP
2011
13 years 11 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
JAIR
2010
160views more  JAIR 2010»
14 years 10 months ago
Constructing Reference Sets from Unstructured, Ungrammatical Text
Vast amounts of text on the Web are unstructured and ungrammatical, such as classified ads, auction listings, forum postings, etc. We call such text “posts.” Despite their in...
Matthew Michelson, Craig A. Knoblock