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» On Similarity Measures for Spike Trains
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98
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COLING
2000
15 years 1 months ago
Automatic Text Categorization by Unsupervised Learning
The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous works in this area have used a large number of labeled train...
Youngjoong Ko, Jungyun Seo
107
Voted
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
15 years 7 months ago
A Hybrid Image Quality Measure for Automatic Image Quality Assessment
Abstract. Automatic image quality assessment has many diverse applications. Existing quality measures are not accurate representatives of the human perception. We present a hybrid ...
Atif Bin Mansoor, Maaz Haider, Ajmal S. Mian, Shoa...
96
Voted
COGSCI
2010
114views more  COGSCI 2010»
15 years 16 days ago
Strudel: A Corpus-Based Semantic Model Based on Properties and Types
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
90
Voted
EMNLP
2010
14 years 10 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang
79
Voted
BC
2006
62views more  BC 2006»
15 years 15 days ago
Population approach to a neural discrimination task
Abstract This article gives insights into the possible neuronal processes involved in visual discrimination. We study the performance of a spiking network of Integrate-and-Fire (IF...
Benoit Gaillard, Hilary Buxton, Jianfeng Feng