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» Active Structured Learning for High-Speed Object Detection
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ERSHOV
2009
Springer
15 years 1 months ago
Indexing Dense Nested Metric Spaces for Efficient Similarity Search
Abstract. Searching in metric spaces is a very active field since it offers methods for indexing and searching by similarity in collections of unstructured data. These methods sele...
Nieves R. Brisaboa, Miguel Rodríguez Luaces...
ANSOFT
1999
74views more  ANSOFT 1999»
14 years 9 months ago
On Coping with Real-Time Software Dynamic Inconsistency by Built-in Tests
In real-time systems, dynamic inconsistencies of software are hardly detected, diagnosed and handled. A built-in test (BIT) method is developed to cope with software dynamic incon...
Yingxu Wang, Graham King, Dilip Patel, Shushma Pat...
IJCNN
2007
IEEE
15 years 3 months ago
Robotic Architecture Inspired on Behavior Analysis
Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to devel...
Claudio A. Policastro, Roseli A. F. Romero, Giovan...
ECCV
2006
Springer
15 years 11 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 1 months ago
Hierarchical CRF with product label spaces for parts-based models
— Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, humancomput...
Gemma Roig, Xavier Boix Bosch, Fernando De la Torr...