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ICIP
1999
IEEE
14 years 10 months ago
Efficient Approximation of Gray-Scale Images Through Bounded Error Triangular Meshes
This paper presents an iterative algorithm for approximating gray-scale images with adaptive triangular meshes ensuring a given tolerance. At each iteration, the algorithm applies...
Angel Domingo Sappa, Boris Xavier Vintimilla, Migu...
ICPR
2000
IEEE
14 years 10 months ago
Acceleration of Thresholding and Labeling Operations through Geometric Processing of Gray-Level Images
This paper explores the utilization of adaptive triangular meshes representing gray-level images to accelerate basic image processing operations. In particular, two algorithms for...
Miguel Angel García, Boris Xavier Vintimill...
ICML
2007
IEEE
14 years 9 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
ICML
2006
IEEE
14 years 9 months ago
Accelerated training of conditional random fields with stochastic gradient methods
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
ICML
2005
IEEE
14 years 9 months ago
New kernels for protein structural motif discovery and function classification
We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show ...
Chang Wang, Stephen D. Scott