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INTERSPEECH
2010
13 years 6 months ago
Acoustic feature analysis in speech emotion primitives estimation
We recently proposed a family of robust linear and nonlinear estimation techniques for recognizing the three emotion primitives
Dongrui Wu, Thomas D. Parsons, Shrikanth S. Naraya...
TIP
2011
217views more  TIP 2011»
13 years 6 months ago
Contextual Object Localization With Multiple Kernel Nearest Neighbor
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
Brian McFee, Carolina Galleguillos, Gert R. G. Lan...
MTA
2006
114views more  MTA 2006»
13 years 11 months ago
A structure-based approach for multimedia information filtering
While multimedia documents are sequentially presented to users, an information filtering (IF) system is useful to achieve a good retrieval performance in terms of both quality and ...
Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shi...
NAACL
2004
14 years 25 days ago
Evaluating Content Selection in Summarization: The Pyramid Method
We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...
Ani Nenkova, Rebecca J. Passonneau
ECAI
2000
Springer
14 years 3 months ago
Learning to Use Operational Advice
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
Johannes Fürnkranz, Bernhard Pfahringer, Herm...
ESEM
2009
ACM
14 years 6 months ago
An empirical study on software engineers motivational factors
This article describes a survey which aims to identify the relative importance of a set of factors that affect the motivation of software engineers at work. The conceptual underpi...
A. Cesar C. Franca, Fabio Q. B. da Silva
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
14 years 12 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
14 years 12 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...