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» On the Learnability of Vector Spaces
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IJISTA
2007
124views more  IJISTA 2007»
14 years 10 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
TIT
2008
115views more  TIT 2008»
14 years 10 months ago
Affine Reflection Group Codes
This paper presents a construction of Slepian group codes from affine reflection groups. The solution to the initial vector and nearest distance problem is presented for all irred...
Terasan Niyomsataya, Ali Miri, Monica Nevins
IJCV
1998
103views more  IJCV 1998»
14 years 9 months ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache
TIT
2002
60views more  TIT 2002»
14 years 9 months ago
A Zador-like formula for quantizers based on periodic tilings
We consider Zador's asymptotic formula for the distortion-rate function for a variable-rate vector quantizer in the high-rate case. This formula involves the differential ent...
N. J. A. Sloane, Vinay A. Vaishampayan
DIS
2010
Springer
14 years 8 months ago
Speeding Up and Boosting Diverse Density Learning
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
James R. Foulds, Eibe Frank