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ICONIP
2008
13 years 9 months ago
Improved Sparse Bump Modeling for Electrophysiological Data
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we presen...
François B. Vialatte, Justin Dauwels, Jordi...
ACL
2010
13 years 5 months ago
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
Linlin Li, Benjamin Roth, Caroline Sporleder
FPL
2007
Springer
106views Hardware» more  FPL 2007»
14 years 1 months ago
Monte Carlo Logarithmic Number System for Model Predictive Control
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...
ACL
2006
13 years 9 months ago
Models for Sentence Compression: A Comparison across Domains, Training Requirements and Evaluation Measures
Sentence compression is the task of producing a summary at the sentence level. This paper focuses on three aspects of this task which have not received detailed treatment in the l...
James Clarke, Mirella Lapata
ECCV
2010
Springer
13 years 9 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...