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» Soft computing in intrusion detection: the state of the art
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CVPR
2008
IEEE
16 years 1 months ago
Performance evaluation of state-of-the-art discrete symmetry detection algorithms
Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing ...
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Ka...
CVPR
2004
IEEE
16 years 1 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss
92
Voted
AUIC
2006
IEEE
15 years 5 months ago
Garment-based body sensing using foam sensors
Wearable technology is omnipresent to the user. Thus, it has the potential to be significantly disruptive to the user’s daily life. Context awareness and intuitive device interf...
Lucy E. Dunne, Sarah Brady, Richard Tynan, Kim Lau...
ACL
2009
14 years 9 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis
105
Voted
ACCV
2010
Springer
14 years 6 months ago
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
Steve Gu, Ying Zheng, Carlo Tomasi