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» On the Learnability of Vector Spaces
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HIPEAC
2010
Springer
14 years 12 months ago
Computer Generation of Efficient Software Viterbi Decoders
This paper presents a program generator for fast software Viterbi decoders for arbitrary convolutional codes. The input to the generator is a specification of the code and a single...
Frédéric de Mesmay, Srinivas Chellap...
EMNLP
2007
14 years 11 months ago
Scalable Term Selection for Text Categorization
In text categorization, term selection is an important step for the sake of both categorization accuracy and computational efficiency. Different dimensionalities are expected und...
Jingyang Li, Maosong Sun
JMLR
2012
13 years 10 days ago
Fast interior-point inference in high-dimensional sparse, penalized state-space models
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
Eftychios A. Pnevmatikakis, Liam Paninski
JMLR
2012
13 years 10 days ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
PAMI
2012
13 years 9 days ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...