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EMNLP
2009
13 years 7 months ago
Improving Verb Clustering with Automatically Acquired Selectional Preferences
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
Lin Sun, Anna Korhonen
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
CEC
2010
IEEE
13 years 6 months ago
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problem...
Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan
ICASSP
2011
IEEE
13 years 1 months ago
Intra-session variability compensation and a hypothesis generation and selection strategy for speaker segmentation
This paper addresses the problem of speaker segmentation in two-speaker telephone conversations, using an eigenvoice based factor analysis approach. We present a set of improvemen...
Carlos Vaquero, Alfonso Ortega, Eduardo Lleida
FUIN
2010
268views more  FUIN 2010»
13 years 4 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...