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» Learning discrete categorial grammars from structures
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CVPR
2007
IEEE
14 years 9 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
JUCS
2006
141views more  JUCS 2006»
13 years 7 months ago
Constraint Based Methods for Biological Sequence Analysis
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
Maryam Bavarian, Verónica Dahl
WWW
2007
ACM
14 years 8 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
CSLP
2004
Springer
14 years 1 months ago
Gradience, Constructions and Constraint Systems
Abstract. This paper is concerned with the question of quantifying gradient degrees of acceptability by introducing the notion of Density in the context of constructional constrain...
Philippe Blache, Jean-Philippe Prost