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IPMU
2010
Springer
15 years 5 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
ICWSM
2009
15 years 4 months ago
High-level Features for Learning Subjective Language across Domains
In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction...
Gaël Dias, Dinko Dimchev Lambov, Veska Nonche...
CISST
2004
164views Hardware» more  CISST 2004»
15 years 8 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICPR
2004
IEEE
16 years 7 months ago
Face Recognition Based on the Appearance of Local Regions
Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images ...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ISCAS
2005
IEEE
142views Hardware» more  ISCAS 2005»
16 years 10 days ago
Automatic video region-of-interest determination based on user attention model
—This paper presents a framework for automatic video region-of-interest determination based on user attention model. In this work, a set of attempts on using video attention feat...
Wen-Huang Cheng, Wei-Ta Chu, Jin-Hau Kuo, Ja-Ling ...