147 search results - page 23 / 30 » Reading to Learn: Constructing Features from Semantic Abstra... |
LTCONF
2007
Springer
14 years 2 months ago
2007
Springer
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
IBPRIA
2009
Springer
14 years 1 months ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
ESANN
2001
13 years 10 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
ECCV
2006
Springer
14 years 9 days ago
2006
Springer
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
ICFP
2005
ACM
14 years 8 months ago
2005
ACM
Existential types provide a simple and elegant foundation for uning generative abstract data types, of the kind supported by the Standard ML module system. However, in attempting ...