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TNN
2010
173views Management» more  TNN 2010»
14 years 4 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
COLING
2010
14 years 4 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari
TVCG
2012
196views Hardware» more  TVCG 2012»
12 years 12 months ago
Robust Morse Decompositions of Piecewise Constant Vector Fields
—In this paper, we introduce a new approach to computing a Morse decomposition of a vector field on a triangulated manifold surface. The basic idea is to convert the input vector...
Andrzej Szymczak, Eugene Zhang
AUTOMATICA
2011
14 years 1 months ago
Fast computation of minimal elementary decompositions of metabolic flux vectors
The concept of elementary flux vector is valuable in a number of applications of metabolic engineering. For instance, in metabolic flux analysis, each admissible flux vector ca...
Raphaël M. Jungers, Francisca Zamorano, Vince...
ACCV
2010
Springer
14 years 4 months ago
Efficient Structured Support Vector Regression
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
Ke Jia, Lei Wang, Nianjun Liu