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ICML
2010
IEEE
13 years 9 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
CAIP
2001
Springer
120views Image Analysis» more  CAIP 2001»
14 years 11 days ago
Texture Feature Extraction and Classification
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, i...
Brijesh Verma, Siddhivinayak Kulkarni
ICTAI
2009
IEEE
13 years 5 months ago
Real-Valued Feature Selection by Mutual Information of Order 2
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Rüdiger W. Brause
CLIN
2004
13 years 9 months ago
Trailfinder - A Case Study in Extracting Spatial Information Using Deep Language Processing
The present paper reports on an end-to-end application using a deep processing grammar to extract spatial and temporal information of prepositional and adverbial expressions from ...
Lars Hellan, Dorothee Beermann, Jon Atle Gulla, At...
CIKM
2010
Springer
13 years 6 months ago
Components for information extraction: ontology-based information extractors and generic platforms
Information Extraction (IE) has existed as a field for several decades and has produced some impressive systems in the recent past. Despite its success, widespread usage and comm...
Daya C. Wimalasuriya, Dejing Dou