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» Maximal Discrepancy for Support Vector Machines
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TITS
2010
118views Education» more  TITS 2010»
14 years 6 months ago
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance
We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Shinko Y. Cheng, Mohan M. Trivedi
130
Voted
NIPS
2001
15 years 1 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
COLT
2001
Springer
15 years 4 months ago
Limitations of Learning via Embeddings in Euclidean Half-Spaces
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...
Shai Ben-David, Nadav Eiron, Hans-Ulrich Simon
MM
2004
ACM
149views Multimedia» more  MM 2004»
15 years 5 months ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...
94
Voted
BMCBI
2008
170views more  BMCBI 2008»
14 years 11 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini